Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLarry Davis 0001
Larry S. Davis
Person information
- affiliation: University of Maryland, College Park, MD, USA
Other persons with the same name
- Larry Davis 0002 (aka: Larry R. Davis) — Michigan Technological University, Houghton, MI, USA
- Larry Davis 0003 — Western Washington University, Bellingham, WA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c405]Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis:
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CVPR 2023: 21118-21127- [c404]Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV 2023: 4421-4429 - [i137]Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis:
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. CoRR abs/2303.14368 (2023) - 2022
- [j154]Zuxuan Wu
, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1699-1711 (2022) - [j153]Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids With AutoFocus for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3749-3766 (2022) - [c403]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-supervised Object Detection. AAAI 2022: 1314-1322 - [c402]Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry Davis:
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. BMVC 2022: 33 - [c401]Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu:
InvGAN: Invertible GANs. GCPR 2022: 3-19 - [c400]Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava:
Neural Space-Filling Curves. ECCV (7) 2022: 418-434 - [c399]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [c398]Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. WACV 2022: 2293-2303 - [i136]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022) - [i135]Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava:
Neural Space-filling Curves. CoRR abs/2204.08453 (2022) - [i134]Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry S. Davis:
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. CoRR abs/2208.01813 (2022) - [i133]Junke Wang, Zhenxin Li, Chao Zhang, Jingjing Chen, Zuxuan Wu, Larry S. Davis, Yu-Gang Jiang:
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection. CoRR abs/2212.05667 (2022) - 2021
- [j152]Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Coarse-to-Fine Framework for Resource Efficient Video Recognition. Int. J. Comput. Vis. 129(11): 2965-2977 (2021) - [c397]Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. BMVC 2021: 35 - [c396]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. BMVC 2021: 109 - [c395]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CVPR 2021: 762-771 - [c394]Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava:
StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. CVPR 2021: 3712-3721 - [c393]Alexander Lorbert, David Neiman, Arik Poznanski, Eduard Oks, Larry Davis:
Scalable and Explainable Outfit Generation. CVPR Workshops 2021: 3931-3934 - [c392]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CVPR 2021: 6155-6164 - [c391]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. CVPR 2021: 7567-7576 - [c390]Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry S. Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework for Distance Metric Learning. CVPR 2021: 9644-9653 - [c389]Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava:
Learning Graphs for Knowledge Transfer With Limited Labels. CVPR 2021: 11151-11161 - [c388]Ahmed Taha, Abhinav Shrivastava, Larry S. Davis:
Knowledge Evolution in Neural Networks. CVPR 2021: 12843-12852 - [c387]Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim:
Efficient Object Embedding for Spliced Image Retrieval. CVPR 2021: 14965-14975 - [c386]Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV 2021: 984-994 - [c385]Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. ICCV 2021: 3386-3396 - [c384]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c383]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. ICCV 2021: 7940-7949 - [c382]Soubhik Sanyal, Betty J. Mohler, Alex Vorobiov, Larry Davis, Timo Bolkart, Javier Romero, Matthew Loper, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. ICCV 2021: 11118-11127 - [c381]Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava:
Learned Spatial Representations for Few-shot Talking-Head Synthesis. ICCV 2021: 13809-13818 - [c380]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW 2021: 2357-2367 - [c379]Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis:
PSANet - subspace attention for personalized compatibility. ICDM 2021: 1354-1360 - [i132]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i131]Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids with AutoFocus for Object Detection. CoRR abs/2102.05646 (2021) - [i130]Ahmed Taha, Alex Hanson, Abhinav Shrivastava, Larry Davis:
SVMax: A Feature Embedding Regularizer. CoRR abs/2103.02770 (2021) - [i129]Ahmed Taha, Abhinav Shrivastava, Larry Davis:
Knowledge Evolution in Neural Networks. CoRR abs/2103.05152 (2021) - [i128]Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim:
THAT: Two Head Adversarial Training for Improving Robustness at Scale. CoRR abs/2103.13612 (2021) - [i127]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i126]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR abs/2104.01198 (2021) - [i125]Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava:
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis. CoRR abs/2104.07098 (2021) - [i124]Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. CoRR abs/2104.11896 (2021) - [i123]Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava:
Learned Spatial Representations for Few-shot Talking-Head Synthesis. CoRR abs/2104.14557 (2021) - [i122]Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. CoRR abs/2105.02668 (2021) - [i121]Shiyi Lan, Zhiding Yu, Christopher Bongsoo Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. CoRR abs/2105.06464 (2021) - [i120]Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. CoRR abs/2105.07322 (2021) - [i119]Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints. CoRR abs/2105.09597 (2021) - [i118]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. CoRR abs/2106.00168 (2021) - [i117]Soubhik Sanyal, Alex Vorobiov, Timo Bolkart, Matthew Loper, Betty J. Mohler, Larry Davis, Javier Romero, Michael J. Black:
Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. CoRR abs/2110.05458 (2021) - [i116]Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu:
InvGAN: Invertible GANs. CoRR abs/2112.04598 (2021) - 2020
- [j151]Venkataraman Santhanam, Larry S. Davis:
A Generic Improvement to Deep Residual Networks Based on Gradient Flow. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2490-2499 (2020) - [c378]Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Depth Completion Using a View-constrained Deep Prior. 3DV 2020: 723-733 - [c377]Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein:
Universal Adversarial Training. AAAI 2020: 5636-5643 - [c376]Zhe Wu, Zuxuan Wu, Bharat Singh, Larry S. Davis:
Recognizing Instagram Filtered Images with Feature De-Stylization. AAAI 2020: 12418-12425 - [c375]Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis:
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI 2020: 13058-13065 - [c374]Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis:
M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. BMVC 2020 - [c373]Yen-Liang Lin, Son Dinh Tran, Larry S. Davis:
Fashion Outfit Complementary Item Retrieval. CVPR 2020: 3308-3316 - [c372]Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua:
SaccadeNet: A Fast and Accurate Object Detector. CVPR 2020: 10394-10403 - [c371]Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis:
Deepstrip: High-Resolution Boundary Refinement. CVPR 2020: 10555-10564 - [c370]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. CVPR 2020: 10585-10594 - [c369]Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. CVPR 2020: 11910-11919 - [c368]Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. ECCV (4) 2020: 1-17 - [c367]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. ECCV (8) 2020: 293-309 - [c366]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [c365]Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis:
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling. ECCV (10) 2020: 405-420 - [c364]Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister:
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) 2020: 510-526 - [c363]Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. ECCV (17) 2020: 734-750 - [c362]Pallabi Ghosh, Yi Yao, Larry S. Davis, Ajay Divakaran:
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation. WACV 2020: 565-574 - [c361]Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Boosting Standard Classification Architectures Through a Ranking Regularizer. WACV 2020: 747-755 - [i115]Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Deep Depth Prior for Multi-View Stereo. CoRR abs/2001.07791 (2020) - [i114]Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis:
DeepStrip: High Resolution Boundary Refinement. CoRR abs/2003.11670 (2020) - [i113]Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua:
SaccadeNet: A Fast and Accurate Object Detector. CoRR abs/2003.12125 (2020) - [i112]Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. CoRR abs/2004.01170 (2020) - [i111]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i110]Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. CoRR abs/2004.09320 (2020) - [i109]Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
Layout Generation and Completion with Self-attention. CoRR abs/2006.14615 (2020) - [i108]Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis:
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling. CoRR abs/2007.08556 (2020) - [i107]Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis:
A Generic Visualization Approach for Convolutional Neural Networks. CoRR abs/2007.09748 (2020) - [i106]Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis:
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR abs/2007.09785 (2020) - [i105]Xitong Yang, Xiaodong Yang, Sifei Liu, Deqing Sun, Larry Davis, Jan Kautz:
Hierarchical Contrastive Motion Learning for Video Action Recognition. CoRR abs/2007.10321 (2020) - [i104]Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava:
All About Knowledge Graphs for Actions. CoRR abs/2008.12432 (2020) - [i103]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating Compression Defects in Deep Learning. CoRR abs/2011.08932 (2020) - [i102]Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework For Distance Metric Learning. CoRR abs/2011.10269 (2020) - [i101]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CoRR abs/2012.04643 (2020) - [i100]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR abs/2012.08726 (2020) - [i99]Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. CoRR abs/2012.14950 (2020)
2010 – 2019
- 2019
- [j150]Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-Negative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 246-259 (2019) - [j149]Larry Davis, Alberto Del Bimbo, Brian C. Lovell:
Award winning papers from the 23rd International Conference on Pattern Recognition (ICPR). Pattern Recognit. Lett. 124: 1 (2019) - [j148]Fatih Porikli, Larry S. Davis, Qi Wang, Yi Li, Carlo S. Regazzoni:
Introduction to the Special Section on Deep Learning for Visual Surveillance. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2535-2537 (2019) - [c360]Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. BMVC 2019: 225 - [c359]Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz:
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR 2019: 264-272 - [c358]Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis:
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN. CVPR 2019: 998-1008 - [c357]Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis:
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. CVPR 2019: 1247-1257 - [c356]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR 2019: 1278-1287 - [c355]Mahyar Najibi, Bharat Singh, Larry S. Davis:
FA-RPN: Floating Region Proposals for Face Detection. CVPR 2019: 7723-7732 - [c354]Varun Manjunatha, Nirat Saini, Larry S. Davis:
Explicit Bias Discovery in Visual Question Answering Models. CVPR 2019: 9562-9571 - [c353]Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) 2019: 1481-1487 - [c352]Xianzhi Du, Xiaolong Wang, Dawei Li, Jingwen Zhu, Serafettin Tasci, Cameron Upright, Stephen Walsh, Larry S. Davis:
Boundary-sensitive Network for Portrait Segmentation. FG 2019: 1-8 - [c351]Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry Davis:
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions. ICCV 2019: 1262-1272 - [c350]Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis:
ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV 2019: 2121-2130 - [c349]Max Ehrlich, Larry Davis:
Deep Residual Learning in the JPEG Transform Domain. ICCV 2019: 3483-3492 - [c348]Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis:
FiNet: Compatible and Diverse Fashion Image Inpainting. ICCV 2019: 4480-4490 - [c347]Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall:
Temporal Recurrent Networks for Online Action Detection. ICCV 2019: 5531-5540 - [c346]Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV 2019: 5541-5550 - [c345]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV 2019: 7555-7565 - [c344]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. ICCV 2019: 8241-8250 - [c343]Mahyar Najibi, Bharat Singh, Larry Davis:
AutoFocus: Efficient Multi-Scale Inference. ICCV 2019: 9744-9754 - [c342]Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
A Refined 3D Pose Dataset for Fine-Grained Object Categories. ICCV Workshops 2019: 2797-2806 - [c341]Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis:
A Weakly Supervised Adaptive Triplet Loss for Deep Metric Learning. ICCV Workshops 2019: 3177-3180 - [c340]Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS 2019: 5144-5147 - [c339]Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial training for free! NeurIPS 2019: 3353-3364 - [c338]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. NeurIPS 2019: 7778-7787 - [c337]Bor-Chun Chen, Larry S. Davis:
Deep Representation Learning for Metadata Verification. WACV Workshops 2019: 73-82 - [c336]