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ORCIDHumphrey Shi
Honghui Shi
Person information
- affiliation: Georgia Tech, Atlanta, GA, USA
- affiliation: University of Illinois at Urbana-Champaign, Beckman Institute, Urbana, IL, USA
- affiliation (former): University of Oregon, Eugene, OR, USA
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2020 – today
- 2025
[j12]Chao Liang, Linchao Zhu
, Humphrey Shi, Yi Yang:
Combating Label Noise with a General Surrogate Model for Sample Selection. Int. J. Comput. Vis. 133(6): 3166-3179 (2025)- [c103]Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. ICLR 2025 - [c102]Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei:
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. ICLR 2025 - [c101]Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. ICLR 2025 - [i116]Siyu Jiao, Gengwei Zhang, Yinlong Qian, Jiancheng Huang, Yao Zhao, Humphrey Shi, Lin Ma, Yunchao Wei, Zequn Jie:
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction. CoRR abs/2502.20313 (2025) - [i115]Moreno D'Incà, Elia Peruzzo, Xingqian Xu, Humphrey Shi, Nicu Sebe, Massimiliano Mancini:
Safe Vision-Language Models via Unsafe Weights Manipulation. CoRR abs/2503.11742 (2025) - [i114]Min Shi, Shihao Wang, Chieh-Yun Chen, Jitesh Jain, Kai Wang, Junjun Xiong, Guilin Liu, Zhiding Yu, Humphrey Shi:
Slow-Fast Architecture for Video Multi-Modal Large Language Models. CoRR abs/2504.01328 (2025) - [i113]Elia Peruzzo, Dejia Xu, Xingqian Xu, Humphrey Shi, Nicu Sebe:
RAGME: Retrieval Augmented Video Generation for Enhanced Motion Realism. CoRR abs/2504.06672 (2025) - [i112]Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-mei Hwu, Ming-Yu Liu, Humphrey Shi:
Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. CoRR abs/2504.16922 (2025) - 2024
- [j11]Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 749-763 (2024) - [j10]Shuangshuang Peng, Honghui Shi, Renwang Li, Qian Xiang, Shaoxuan Dai, Yilin Li:
Simulink Modeling and Analysis of a Three-Dimensional Discrete Memristor Map. Symmetry 16(8): 990 (2024) - [j9]Jiayi Guo, Hayk Manukyan, Chenyu Yang, Chaofei Wang, Levon Khachatryan, Shant Navasardyan, Shiji Song, Humphrey Shi, Gao Huang:
FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4270-4284 (2024) - [c100]Qingxiao Zheng, Xi Lu, Qiao Jin, Jitesh Jain, Hedda Meadan-Kaplansky, Humphrey Shi, Jinjun Xiong, Yun Huang:
Towards Responsible Use of Large Multi-modal AI to Analyze Human Social Behaviors. CSCW Companion 2024: 663-665 - [c99]Hovhannes Margaryan, Daniil Hayrapetyan, Wenyan Cong, Zhangyang Wang, Humphrey Shi:
DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation. CVPR Workshops 2024: 747-756 - [c98]Gong Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CVPR Workshops 2024: 1755-1764 - [c97]Jiachen Li, Jitesh Jain, Humphrey Shi:
Matting Anything. CVPR Workshops 2024: 1775-1785 - [c96]Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi:
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CVPR 2024: 7548-7558 - [c95]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. CVPR 2024: 8609-8618 - [c94]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. CVPR 2024: 8682-8692 - [c93]Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CVPR 2024: 8764-8774 - [c92]Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe:
OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models. CVPR 2024: 12225-12235 - [c91]Mang Tik Chiu, Yuqian Zhou, Lingzhi Zhang, Zhe Lin, Connelly Barnes, Sohrab Amirghodsi, Eli Shechtman, Humphrey Shi:
Brush2Prompt: Contextual Prompt Generator for Object Inpainting. CVPR 2024: 12636-12645 - [c90]Jitesh Jain, Jianwei Yang, Humphrey Shi:
VCoder: Versatile Vision Encoders for Multimodal Large Language Models. CVPR 2024: 27992-28002 - [c89]Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi:
Diffusion for Natural Image Matting. ECCV (57) 2024: 181-199 - [c88]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. ECCV (44) 2024: 279-295 - [c87]Siyu Jiao, Hongguang Zhu, Jiannan Huang, Yao Zhao, Yunchao Wei, Humphrey Shi:
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation. ECCV (33) 2024: 399-416 - [c86]Artur Shagidanov, Hayk Poghosyan, Xinyu Gong, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding. ICASSP 2024: 6585-6589 - [c85]Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi:
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. ICLR 2024 - [c84]Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, Bruno Lepri:
UVMap-ID: A Controllable and Personalized UV Map Generative Model. ACM Multimedia 2024: 10725-10734 - [c83]Ali Hassani, Wen-Mei Hwu, Humphrey Shi:
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level. NeurIPS 2024 - [c82]Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu Xu, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen:
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts. NeurIPS 2024 - [c81]Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa:
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models. NeurIPS 2024 - [c80]Barsegh Atanyan, Levon Khachatryan, Shant Navasardyan, Yunchao Wei, Humphrey Shi:
Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture. WACV 2024: 778-788 - [c79]Xinglong Sun, Humphrey Shi:
Towards Better Structured Pruning Saliency by Reorganizing Convolution. WACV 2024: 2193-2203 - [c78]Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu:
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. WACV 2024: 6215-6224 - [c77]Jiachen Li, Roberto Henschel, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Humphrey Shi:
Video Instance Matting. WACV 2024: 6654-6663 - [c76]Jiachen Li, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Yunchao Wei, Humphrey Shi:
VMFormer: End-to-End Video Matting with Transformer. WACV 2024: 6664-6673 - [i111]Elia Peruzzo, Vidit Goel, Dejia Xu, Xingqian Xu, Yifan Jiang, Zhangyang Wang, Humphrey Shi, Nicu Sebe:
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos. CoRR abs/2401.02473 (2024) - [i110]Arman Isajanyan, Artur Shatveryan, David Kocharyan, Zhangyang Wang, Humphrey Shi:
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. CoRR abs/2402.09872 (2024) - [i109]Ali Hassani, Wen-Mei Hwu, Humphrey Shi:
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level. CoRR abs/2403.04690 (2024) - [i108]Roberto Henschel, Levon Khachatryan, Daniil Hayrapetyan, Hayk Poghosyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. CoRR abs/2403.14773 (2024) - [i107]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. CoRR abs/2403.18819 (2024) - [i106]Chenyi Zhang, Yihan Hu, Henghui Ding, Humphrey Shi, Yao Zhao, Yunchao Wei:
Learning Trimaps via Clicks for Image Matting. CoRR abs/2404.00335 (2024) - [i105]Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe:
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models. CoRR abs/2404.07990 (2024) - [i104]Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, Bruno Lepri:
UVMap-ID: A Controllable and Personalized UV Map Generative Model. CoRR abs/2404.14568 (2024) - [i103]Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu Xu, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen:
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts. CoRR abs/2405.05949 (2024) - [i102]Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CoRR abs/2406.04032 (2024) - [i101]Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang:
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CoRR abs/2406.04295 (2024) - [i100]Siyu Jiao, Hongguang Zhu, Jiannan Huang, Yao Zhao, Yunchao Wei, Humphrey Shi:
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation. CoRR abs/2408.00744 (2024) - [i99]Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR abs/2408.15998 (2024) - [i98]Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Xingqian Xu, Humphrey Shi, Nicu Sebe:
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models. CoRR abs/2408.16700 (2024) - [i97]Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang:
OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation. CoRR abs/2412.09585 (2024) - [i96]Andrei Znobishchev, Valerii Filev, Oleg Kudashev, Nikita Orlov, Humphrey Shi:
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices. CoRR abs/2412.13273 (2024) - [i95]Siyu Jiao, Haoye Dong, Yuyang Yin, Zequn Jie, Yinlong Qian, Yao Zhao, Humphrey Shi, Yunchao Wei:
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting. CoRR abs/2412.19142 (2024) - 2023
- [j8]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. Comput. Vis. Image Underst. 235: 103778 (2023) - [j7]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Network for Image Restoration. Int. J. Comput. Vis. 131(12): 3207-3225 (2023) - [j6]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6896-6908 (2023) - [j5]Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu:
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144: 109831 (2023) - [j4]Siyu Jiao, Vidit Goel, Shant Navasardyan, Zongxin Yang, Levon Khachatryan, Yi Yang, Yunchao Wei, Yao Zhao, Humphrey Shi:
Collaborative Content-Dependent Modeling: A Return to the Roots of Salient Object Detection. IEEE Trans. Image Process. 32: 4237-4246 (2023) - [j3]Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Broad Spectrum Image Deblurring via an Adaptive Super-Network. IEEE Trans. Image Process. 32: 5270-5282 (2023) - [c75]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. AAAI 2023: 10989-10997 - [c74]Hrach Ayunts, Varduhi Yeghiazaryan, Shant Navasardyan, Humphrey Shi:
Interactive Image Segmentation with Superpixel Propagation. AIST (Supplement) 2023: 167-179 - [c73]Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CVPR 2023: 2173-2182 - [c72]Jiachen Li, Marianna Ohanyan, Vidit Goel, Shant Navasardyan, Yunchao Wei, Humphrey Shi:
VideoMatt: A Simple Baseline for Accessible Real-Time Video Matting. CVPR Workshops 2023: 2177-2186 - [c71]Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. CVPR 2023: 2183-2192 - [c70]Jitesh Jain, Jiachen Li, MangTik Chiu, Ali Hassani, Nikita Orlov, Humphrey Shi:
OneFormer: One Transformer to Rule Universal Image Segmentation. CVPR 2023: 2989-2998 - [c69]Ali Hassani, Steven Walton, Jiachen Li, Shen Li, Humphrey Shi:
Neighborhood Attention Transformer. CVPR 2023: 6185-6194 - [c68]Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi:
ConvMLP: Hierarchical Convolutional MLPs for Vision. CVPR Workshops 2023: 6307-6316 - [c67]Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang:
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. CVPR 2023: 11494-11503 - [c66]Haoming Lu, Hazarapet Tunanyan, Kai Wang, Shant Navasardyan, Zhangyang Wang, Humphrey Shi:
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style. CVPR 2023: 14267-14276 - [c65]Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi:
MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices. ICCV 2023: 7301-7311 - [c64]Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi:
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. ICCV 2023: 7720-7731 - [c63]Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. ICCV 2023: 15908-15918 - [c62]Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. ICCV (Workshops) 2023: 752-761 - [c61]Siyu Jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi:
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation. NeurIPS 2023 - [c60]Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi:
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. WACV 2023: 208-217 - [c59]Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. WACV 2023: 289-299 - [c58]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. WACV 2023: 4580-4590 - [c57]Qi Rao, Xin Yu, Shant Navasardyan, Humphrey Shi:
Sim2RealVS: A New Benchmark for Video Stabilization with a Strong Baseline. WACV 2023: 5395-5404 - [i94]Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi:
Mask Matching Transformer for Few-Shot Segmentation. CoRR abs/2301.01208 (2023) - [i93]Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023) - [i92]Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. CoRR abs/2303.13439 (2023) - [i91]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. CoRR abs/2303.17546 (2023) - [i90]Eric J. Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CoRR abs/2303.17591 (2023) - [i89]Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. CoRR abs/2304.00221 (2023) - [i88]Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang:
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning. CoRR abs/2304.03119 (2023) - [i87]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models. CoRR abs/2305.16223 (2023) - [i86]Jiachen Li, Jitesh Jain, Humphrey Shi:
Matting Anything. CoRR abs/2306.05399 (2023) - [i85]Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu:
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. CoRR abs/2306.17206 (2023) - [i84]Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang:
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap. CoRR abs/2307.10584 (2023) - [i83]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. CoRR abs/2307.16441 (2023) - [i82]Siyu Jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi:
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation. CoRR abs/2310.00240 (2023) - [i81]Hazarapet Tunanyan, Dejia Xu, Shant Navasardyan, Zhangyang Wang, Humphrey Shi:
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else. CoRR abs/2310.07419 (2023) - [i80]Chao Liang, Linchao Zhu, Humphrey Shi, Yi Yang:
Combating Label Noise With A General Surrogate Model For Sample Selection. CoRR abs/2310.10463 (2023) - [i79]Jiachen Li, Roberto Henschel, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Humphrey Shi:
Video Instance Matting. CoRR abs/2311.04212 (2023) - [i78]Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou:
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. CoRR abs/2312.00079 (2023) - [i77]Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi:
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CoRR abs/2312.04410 (2023) - [i76]Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi:
Diffusion for Natural Image Matting. CoRR abs/2312.05915 (2023) - [i75]Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi:
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. CoRR abs/2312.14091 (2023) - [i74]Jitesh Jain, Jianwei Yang, Humphrey Shi:
VCoder: Versatile Vision Encoders for Multimodal Large Language Models. CoRR abs/2312.14233 (2023) - 2022
- [j2]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 550-557 (2022) - [c56]Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang:
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CVPR 2022: 2037-2047 - [c55]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CVPR 2022: 4858-4867 - [c54]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR 2022: 12372-12382 - [c53]Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi:
Towards Layer-wise Image Vectorization. CVPR 2022: 16293-16302 - [c52]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CVPR 2022: 20030-20040 - [c51]Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye:
Point-to-Box Network for Accurate Object Detection via Single Point Supervision. ECCV (9) 2022: 51-67 - [c50]Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang:
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. ECCV (4) 2022: 226-243 - [c49]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) 2022: 736-753 - [c48]Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin:
Rev: A Video Engine for Object Re-identification at the City Scale. SEC 2022: 189-202 - [c47]Dejia Xu, Hayk Poghosyan, Shant Navasardyan, Yifan Jiang, Humphrey Shi, Zhangyang Wang:
ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks. ACM Multimedia 2022: 1376-1386 - [c46]Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Honghui Shi:
Mask Matching Transformer for Few-Shot Segmentation. NeurIPS 2022 - [c45]Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. WACV 2022: 2354-2363 - [i73]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CoRR abs/2203.09338 (2022) - [i72]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR abs/2204.00928 (2022) - [i71]Ali Hassani, Steven Walton, Jiachen Li, Shen Li, Humphrey Shi:
Neighborhood Attention Transformer. CoRR abs/2204.07143 (2022) - [i70]Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR abs/2204.12696 (2022) - [i69]Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang:
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CoRR abs/2206.04647 (2022) - [i68]Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi:
Towards Layer-wise Image Vectorization. CoRR abs/2206.04655 (2022) - [i67]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CoRR abs/2206.04662 (2022) - [i66]Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye:
Point-to-Box Network for Accurate Object Detection via Single Point Supervision. CoRR abs/2207.06827 (2022) - [i65]Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi:
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. CoRR abs/2208.03382 (2022) - [i64]Jiachen Li, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Yunchao Wei, Humphrey Shi:
VMFormer: End-to-End Video Matting with Transformer. CoRR abs/2208.12801 (2022) - [i63]Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang:
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition. CoRR abs/2209.13465 (2022) - [i62]Ali Hassani, Humphrey Shi:
Dilated Neighborhood Attention Transformer. CoRR abs/2209.15001 (2022) - [i61]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. CoRR abs/2211.03700 (2022) - [i60]Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi:
StyleNAT: Giving Each Head a New Perspective. CoRR abs/2211.05770 (2022) - [i59]Jitesh Jain, Jiachen Li, MangTik Chiu, Ali Hassani, Nikita Orlov, Humphrey Shi:
OneFormer: One Transformer to Rule Universal Image Segmentation. CoRR abs/2211.06220 (2022) - [i58]Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi:
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. CoRR abs/2211.08332 (2022) - [i57]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. CoRR abs/2211.16726 (2022) - 2021
- [j1]Lite Zhang, Zilong Feng, Mengyu Sun, Haozhe Jin, Honghui Shi:
Numerical Study of Air Flow Induced by Shock Impact on an Array of Perforated Plates. Entropy 23(8): 1051 (2021) - [c44]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. AAAI 2021: 1361-1369 - [c43]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. AAAI 2021: 3217-3224 - [c42]Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. AAAI 2021: 10763-10771 - [c41]Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection. CVPR Workshops 2021: 2349-2358 - [c40]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops 2021: 2378-2387 - [c39]Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CVPR Workshops 2021: 3043-3052 - [c38]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c37]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CVPR 2021: 8680-8689 - [c36]Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian L. Price, Zhonghao Wang, Humphrey Shi:
Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach. CVPR 2021: 12045-12055 - [c35]Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV 2021: 1858-1867 - [c34]Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang:
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. ICCV 2021: 8433-8442 - [c33]Yuqian Zhou, Hanchao Yu, Humphrey Shi:
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. MICCAI (1) 2021: 57-67 - [c32]Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Textual Attributes Guided Portrait Painting Generation. MIPR 2021: 386-392 - [i56]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i55]Yuqian Zhou, Hanchao Yu, Humphrey Shi:
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. CoRR abs/2103.03451 (2021) - [i54]Xingqian Xu, Zhangyang Wang, Humphrey Shi:
UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution. CoRR abs/2103.12716 (2021) - [i53]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CoRR abs/2104.00287 (2021) - [i52]Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi:
Escaping the Big Data Paradigm with Compact Transformers. CoRR abs/2104.05704 (2021) - [i51]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR abs/2104.14082 (2021) - [i50]Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CoRR abs/2105.07331 (2021) - [i49]Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection. CoRR abs/2105.12789 (2021) - [i48]Vidit Goel, Jiachen Li, Shubhika Garg, Harsh Maheshwari, Humphrey Shi:
MSN: Efficient Online Mask Selection Network for Video Instance Segmentation. CoRR abs/2106.10452 (2021) - [i47]Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR abs/2108.11939 (2021) - [i46]Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi:
ConvMLP: Hierarchical Convolutional MLPs for Vision. CoRR abs/2109.04454 (2021) - [i45]Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi:
Feudal Reinforcement Learning by Reading Manuals. CoRR abs/2110.06477 (2021) - [i44]Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021) - [i43]Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. CoRR abs/2112.04710 (2021) - [i42]Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. CoRR abs/2112.05744 (2021) - [i41]Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. CoRR abs/2112.12782 (2021) - [i40]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CoRR abs/2112.14238 (2021) - 2020
- [c31]Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-Based Denoiser Meets Real Noises. AAAI 2020: 13074-13081 - [c30]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c29]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CVPR 2020: 2825-2835 - [c28]Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops 2020: 4043-4047 - [c27]Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CVPR 2020: 4312-4322 - [c26]Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. CVPR 2020: 5385-5394 - [c25]Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Honghui Shi:
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. CVPR 2020: 5689-5698 - [c24]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR 2020: 12632-12641 - [c23]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. ECCV Workshops (5) 2020: 315-323 - [c22]Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun:
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. MICCAI (6) 2020: 436-446 - [c21]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys 2020 - [c20]Trevor Bergstrom, Humphrey Shi:
Human-Object Interaction Detection: A Quick Survey and Examination of Methods. HUMA @ ACM Multimedia 2020: 63-71 - [i39]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CoRR abs/2001.01306 (2020) - [i38]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. CoRR abs/2003.00872 (2020) - [i37]Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CoRR abs/2003.04492 (2020) - [i36]Xingqian Xu, Mang Tik Chiu, Thomas S. Huang, Honghui Shi:
Deep Affinity Net: Instance Segmentation via Affinity. CoRR abs/2003.06849 (2020) - [i35]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2003.08040 (2020) - [i34]Jianbo Jiao, Linchao Bao, Yunchao Wei, Shengfeng He, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Laplacian Denoising Autoencoder. CoRR abs/2003.13623 (2020) - [i33]Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2004.00794 (2020) - [i32]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i31]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i30]Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A. Lange:
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis. CoRR abs/2005.10434 (2020) - [i29]Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Humphrey Shi:
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. CoRR abs/2006.01424 (2020) - [i28]Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun:
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. CoRR abs/2006.15710 (2020) - [i27]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. CoRR abs/2009.06613 (2020) - [i26]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. CoRR abs/2009.07506 (2020) - [i25]Haoming Lu, Humphrey Shi:
Deep Learning for 3D Point Cloud Understanding: A Survey. CoRR abs/2009.08920 (2020) - [i24]Trevor Bergstrom, Humphrey Shi:
Human-Object Interaction Detection: A Quick Survey and Examination of Methods. CoRR abs/2009.12950 (2020) - [i23]Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Illustrating Textual Attributes by Portrait Generation. CoRR abs/2011.04761 (2020) - [i22]Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR abs/2011.11603 (2020) - [i21]Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian L. Price, Zhonghao Wang, Humphrey Shi:
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach. CoRR abs/2011.14021 (2020) - [i20]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. CoRR abs/2012.03400 (2020) - [i19]Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin:
Clique: Spatiotemporal Object Re-identification at the City Scale. CoRR abs/2012.09329 (2020)
2010 – 2019
- 2019
- [c19]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-Identification. AAAI 2019: 8295-8302 - [c18]Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. AAAI 2019: 8843-8850 - [c17]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c16]Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Geometry-Aware Distillation for Indoor Semantic Segmentation. CVPR 2019: 2869-2878 - [c15]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c14]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c13]Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Huang:
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. ICCV 2019: 6111-6120 - [c12]Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang:
A Novel Framework for 3D-2D Vertebra Matching. MIPR 2019: 121-126 - [i18]Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-based Denoiser Meets Real Noises. CoRR abs/1904.03485 (2019) - [i17]Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. CoRR abs/1906.10327 (2019) - [i16]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - [i15]Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation. CoRR abs/1908.10357 (2019) - [i14]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-mei W. Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. CoRR abs/1909.09709 (2019) - [i13]Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. CoRR abs/1911.07346 (2019) - 2018
- [c11]Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. CVPR Workshops 2018: 116-120 - [c10]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. CVPR 2018: 7268-7277 - [c9]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c8]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. ECCV (11) 2018: 454-470 - [c7]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. ECCV (15) 2018: 473-490 - [c6]Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris:
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID 2018 - [i12]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. CoRR abs/1803.06799 (2018) - [i11]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-identification. CoRR abs/1804.05275 (2018) - [i10]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. CoRR abs/1805.04574 (2018) - [i9]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. CoRR abs/1807.04897 (2018) - [i8]Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi:
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. CoRR abs/1810.04002 (2018) - [i7]Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning. CoRR abs/1811.02233 (2018) - [i6]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - [i5]Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi:
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. CoRR abs/1811.09347 (2018) - [i4]Yang Fu, Yunchao Wei, Guanshuo Wang, Xi Zhou, Honghui Shi, Thomas S. Huang:
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification. CoRR abs/1811.10144 (2018) - [i3]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. CoRR abs/1811.11721 (2018) - 2017
- [b1]Honghui Shi:
Deep learning in sequential data analysis. University of Illinois Urbana-Champaign, USA, 2017 - [c5]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c4]Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops 2017: 1157-1164 - [c3]Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang:
Computed tomography super-resolution using convolutional neural networks. ICIP 2017: 3944-3948 - [c2]Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas S. Huang:
Effective object detection from traffic camera videos. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5 - [i2]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - 2016
- [c1]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [i1]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016)
Coauthor Index
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
[j7] [j6] [j2] [c44] [c42] [c40] [i51] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i29] [i28] [i20] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [i18] [i17] [i16] [i15] [i14] [i13] [c11] [c10] [c8] [c7] [i12] [i11] [i10] [i9] [i8] [i7] [i5] [i4] [i3] [c5] [c4] [c3] [c2] [i2] [c1] [i1]
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