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ORCIDManmohan Krishna Chandraker
Manmohan Chandraker
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- affiliation: University of California, San Diego, USA
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2020 – today
- 2024
[j13]Salman Siddique Khan
, Xiang Yu, Kaushik Mitra, Manmohan Chandraker, Francesco Pittaluga:
OpEnCam: Lensless Optical Encryption Camera. IEEE Trans. Computational Imaging 10: 1306-1316 (2024)- [c128]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CVPR Workshops 2024: 2693-2703 - [c127]Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li:
TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware Diffusion. CVPR 2024: 4304-4314 - [c126]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CVPR Workshops 2024: 7449-7459 - [c125]Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker:
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops 2024: 8027-8031 - [c124]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c123]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c122]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CVPR 2024: 14344-14353 - [c121]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR 2024: 14695-14706 - [c120]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CVPR 2024: 19563-19572 - [c119]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CVPR 2024: 19573-19583 - [c118]Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs. CVPR 2024: 22765-22775 - [c117]Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker:
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework. ECCV (85) 2024: 199-220 - [c116]Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker:
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries. ECCV (21) 2024: 242-258 - [c115]Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker:
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos. ICML 2024 - [c114]Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker:
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. ICRA 2024: 14867-14874 - [i101]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i100]S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker:
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. CoRR abs/2401.00125 (2024) - [i99]Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker:
Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion. CoRR abs/2401.00391 (2024) - [i98]Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs. CoRR abs/2401.02411 (2024) - [i97]Yu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao, Thu Nguyen-Phuoc, Numair Khan, Cheng Zhang, Manmohan Chandraker, Carl S. Marshall, Zhao Dong, Zhengqin Li:
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion. CoRR abs/2401.09416 (2024) - [i96]Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker:
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos. CoRR abs/2403.05535 (2024) - [i95]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR abs/2403.17373 (2024) - [i94]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker:
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR abs/2404.04627 (2024) - [i93]Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker:
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR abs/2404.14657 (2024) - [i92]Manyi Yao, Abhishek Aich, Yumin Suh, Amit Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker:
Efficient Transformer Encoders for Mask2Former-style models. CoRR abs/2404.15244 (2024) - [i91]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CoRR abs/2405.00900 (2024) - [i90]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CoRR abs/2405.02781 (2024) - [i89]Meng Song, Xuezhi Wang, Tanay Biradar, Yao Qin, Manmohan Chandraker:
A Minimalist Prompt for Zero-Shot Policy Learning. CoRR abs/2405.06063 (2024) - [i88]Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Z. Liu:
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data. CoRR abs/2405.13779 (2024) - [i87]Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker:
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework. CoRR abs/2409.15264 (2024) - 2023
- [j12]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: flow-free architecture for fast video frame interpolation. Mach. Vis. Appl. 34(5): 83 (2023) - [j11]Zhengqin Li, Li Yu, Mikhail Okunev, Manmohan Chandraker, Zhao Dong:
Spatiotemporally Consistent HDR Indoor Lighting Estimation. ACM Trans. Graph. 42(3): 34:1-34:15 (2023) - [j10]Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Trans. Graph. 42(4): 135:1-135:15 (2023) - [c113]Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - [c112]Tarun Kalluri, Wangdong Xu, Manmohan Chandraker:
GeoNet: Benchmarking Unsupervised Adaptation across Geographies. CVPR 2023: 15368-15379 - [c111]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CVPR 2023: 21404-21414 - [c110]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Theory of Topological Derivatives for Inverse Rendering of Geometry. ICCV 2023: 419-429 - [c109]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV 2023: 3825-3835 - [c108]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. ICCV 2023: 5717-5728 - [c107]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. ICCV 2023: 6154-6165 - [c106]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS 2023 - [c105]Kunal Gupta, Milos Hasan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi:
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs. SIGGRAPH Asia 2023: 98:1-98:11 - [c104]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. WACV 2023: 2070-2081 - [c103]Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker:
Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV 2023: 4340-4349 - [c102]Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes. WACV 2023: 4471-4480 - [i86]Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran:
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR abs/2303.05503 (2023) - [i85]Tarun Kalluri, Wangdong Xu, Manmohan Chandraker:
GeoNet: Benchmarking Unsupervised Adaptation across Geographies. CoRR abs/2303.15443 (2023) - [i84]Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR abs/2304.05669 (2023) - [i83]Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. CoRR abs/2305.02310 (2023) - [i82]Zhengqin Li, Li Yu, Mikhail Okunev, Manmohan Chandraker, Zhao Dong:
Spatiotemporally Consistent HDR Indoor Lighting Estimation. CoRR abs/2305.04374 (2023) - [i81]Chaitanya Animesh, Manmohan Chandraker:
Tuned Contrastive Learning. CoRR abs/2305.10675 (2023) - [i80]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CoRR abs/2305.17763 (2023) - [i79]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - [i78]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i77]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Theory of Topological Derivatives for Inverse Rendering of Geometry. CoRR abs/2308.09865 (2023) - [i76]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. CoRR abs/2308.11744 (2023) - [i75]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. CoRR abs/2310.07361 (2023) - [i74]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. CoRR abs/2310.17050 (2023) - 2022
- [c101]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CVPR 2022: 2812-2821 - [c100]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c99]Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. CVPR Workshops 2022: 4120-4130 - [c98]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c97]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CVPR 2022: 10945-10954 - [c96]Buyu Liu, Bingbing Zhuang, Manmohan Chandraker:
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Road Layouts. CVPR 2022: 16979-16988 - [c95]Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. CVPR 2022: 18541-18550 - [c94]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. ECCV (28) 2022: 20-36 - [c93]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) 2022: 159-175 - [c92]Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga:
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation. ECCV (7) 2022: 504-521 - [c91]Tarun Kalluri, Astuti Sharma, Manmohan Chandraker:
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation. ECCV (30) 2022: 550-568 - [c90]Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Milos Hasan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Physically-Based Editing of Indoor Scene Lighting from a Single Image. ECCV (6) 2022: 555-572 - [c89]Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments. ECCV (8) 2022: 592-608 - [c88]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Level Set Theory for Neural Implicit Evolution Under Explicit Flows. ECCV (2) 2022: 711-729 - [c87]Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [c86]Manmohan Chandraker:
Learning, Understanding and Interaction in Videos. NarSUM@MM 2022: 3 - [i73]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. CoRR abs/2202.14030 (2022) - [i72]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i71]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i70]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CoRR abs/2203.14949 (2022) - [i69]Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Level Set Theory for Neural Implicit Evolution under Explicit Flows. CoRR abs/2204.07159 (2022) - [i68]Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Milos Hasan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Physically-Based Editing of Indoor Scene Lighting from a Single Image. CoRR abs/2205.09343 (2022) - [i67]Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker:
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. CoRR abs/2206.08423 (2022) - [i66]Meng Song, Yuhan Liu, Zhengqin Li, Manmohan Chandraker:
Learning to Rearrange with Physics-Inspired Risk Awareness. CoRR abs/2206.12784 (2022) - [i65]Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. CoRR abs/2207.00757 (2022) - [i64]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR abs/2207.08954 (2022) - [i63]Tarun Kalluri, Astuti Sharma, Manmohan Chandraker:
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation. CoRR abs/2207.12389 (2022) - [i62]Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang:
ALBench: A Framework for Evaluating Active Learning in Object Detection. CoRR abs/2207.13339 (2022) - [i61]Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. CoRR abs/2208.02804 (2022) - [i60]Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments. CoRR abs/2208.07943 (2022) - [i59]Shubham Dokania, A. H. Abdul Hafez, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes. CoRR abs/2210.12878 (2022) - [i58]Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker:
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. CoRR abs/2210.15908 (2022) - 2021
- [c85]Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. CVPR 2021: 32-42 - [c84]Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. CVPR 2021: 5361-5371 - [c83]Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh B. Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker:
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. CVPR 2021: 7190-7199 - [c82]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR 2021: 15292-15301 - [c81]Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker:
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. CVPR 2021: 15799-15808 - [c80]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV 2021: 13598-13607 - [c79]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. ICCV 2021: 14194-14203 - [c78]Raghava Modhugu, Harish Rithish Sethuram, Manmohan Chandraker, C. V. Jawahar:
Looking Farther in Parametric Scene Parsing with Ground and Aerial Imagery. ICRA 2021: 14091-14097 - [i57]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR abs/2103.07503 (2021) - [i56]Astuti Sharma, Tarun Kalluri, Manmohan Chandraker:
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. CoRR abs/2104.01286 (2021) - [i55]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. CoRR abs/2104.03960 (2021) - [i54]Buyu Liu, Bingbing Zhuang, Manmohan Chandraker:
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts. CoRR abs/2104.06730 (2021) - [i53]Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker:
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. CoRR abs/2104.08277 (2021) - [i52]Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. CoRR abs/2104.08278 (2021) - [i51]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR abs/2108.11974 (2021) - [i50]Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang:
YMIR: A Rapid Data-centric Development Platform for Vision Applications. CoRR abs/2111.10046 (2021) - 2020
- [c77]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI 2020: 12434-12441 - [c76]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC 2020 - [c75]Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR 2020: 110-118 - [c74]