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ORCIDRama Chellappa
Ramalingam Chellappa
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- affiliation: University of Maryland, College Park, USA
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2020 – today
- 2023
[j277]Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa
, Rama Chellappa, Alex Pentland, Richa Singh:
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 305-307 (2023)- [c499]Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. AAAI 2023: 2029-2037 - [c498]Pirazh Khorramshahi, Vineet Shenoy, Rama Chellappa:
Robust and Scalable Vehicle Re-Identification via Self-Supervision. CVPR Workshops 2023: 5295-5304 - [c497]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [c496]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR 2023: 18846-18856 - [c495]Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa:
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB. FG 2023: 1-7 - [c494]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. ICRA 2023: 11374-11381 - [c493]Ketul Shah, Anshul Shah, Chun Pong Lau, Celso M. de Melo, Rama Chellappa:
Multi-View Action Recognition using Contrastive Learning. WACV 2023: 3370-3380 - [e11]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13841, Springer 2023, ISBN 978-3-031-26318-7 [contents] - [e10]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13842, Springer 2023, ISBN 978-3-031-26283-8 [contents] - [e9]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13843, Springer 2023, ISBN 978-3-031-26312-5 [contents] - [e8]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13844, Springer 2023, ISBN 978-3-031-26315-6 [contents] - [e7]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13845, Springer 2023, ISBN 978-3-031-26347-7 [contents] - [e6]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13846, Springer 2023, ISBN 978-3-031-26350-7 [contents] - [e5]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13847, Springer 2023, ISBN 978-3-031-26292-0 [contents] - [i143]Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos. CoRR abs/2301.00794 (2023) - [i142]Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. CoRR abs/2303.10280 (2023) - [i141]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR abs/2304.00387 (2023) - [i140]Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR abs/2304.05387 (2023) - [i139]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - [i138]Chun Pong Lau, Jiang Liu, Rama Chellappa:
Attribute-Guided Encryption with Facial Texture Masking. CoRR abs/2305.13548 (2023) - [i137]Jiang Liu, Chun Pong Lau, Rama Chellappa:
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection. CoRR abs/2305.13625 (2023) - [i136]Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison Bai, Zhicheng Jiao:
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR abs/2306.08213 (2023) - [i135]Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR abs/2307.05463 (2023) - [i134]Yuxiang Guo, Cheng Peng, Ram Prabhakar, Chun Pong Lau, Rama Chellappa:
GADER: GAit DEtection and Recognition in the Wild. CoRR abs/2307.14578 (2023) - 2022
- [j276]Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning Together is Better Than Going Alone. IEEE Trans. Inf. Forensics Secur. 17: 2364-2377 (2022) - [c492]Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. AAAI 2022: 8220-8230 - [c491]Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa:
A Brief Survey on Person Recognition at a Distance. IEEECONF 2022: 145-152 - [c490]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c489]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR 2022: 14953-14962 - [c488]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CVPR 2022: 20186-20195 - [c487]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CVPR 2022: 20709-20719 - [c486]Shraman Pramanick, Ewa Magdalena Nowara, Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Where in the World Is This Image? Transformer-Based Geo-localization in the Wild. ECCV (38) 2022: 196-215 - [c485]Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa:
An Empirical Analysis of Boosting Deep Networks. IJCNN 2022: 1-9 - [c484]Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal M. Patel, Rama Chellappa:
Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling. MICCAI (6) 2022: 623-633 - [c483]Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa:
FeLMi : Few shot Learning with hard Mixup. NeurIPS 2022 - [c482]Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein:
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. NeurIPS 2022 - [c481]Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. WACV 2022: 141-151 - [i133]Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava:
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. CoRR abs/2201.04620 (2022) - [i132]Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa:
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling. CoRR abs/2203.04292 (2022) - [i131]Pirazh Khorramshahi, Vineet Shenoy, Michael Pack, Rama Chellappa:
Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking. CoRR abs/2204.07442 (2022) - [i130]Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Rama Chellappa, Shih-Fu Chang:
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting. CoRR abs/2204.07841 (2022) - [i129]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i128]Shraman Pramanick, Ewa Magdalena Nowara, Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Where in the World is this Image? Transformer-based Geo-localization in the Wild. CoRR abs/2204.13861 (2022) - [i127]Pirazh Khorramshahi, Vineet Shenoy, Rama Chellappa:
Scalable Vehicle Re-Identification via Self-Supervision. CoRR abs/2205.07613 (2022) - [i126]Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa:
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition. CoRR abs/2208.08048 (2022) - [i125]Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images. CoRR abs/2208.08049 (2022) - [i124]Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa:
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB. CoRR abs/2210.04050 (2022) - [i123]Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR abs/2210.04135 (2022) - [i122]Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images. CoRR abs/2210.05117 (2022) - [i121]Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein:
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR abs/2210.09305 (2022) - [i120]Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
DiffAlign : Few-shot learning using diffusion based synthesis and alignment. CoRR abs/2212.05404 (2022) - [i119]Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa:
A Brief Survey on Person Recognition at a Distance. CoRR abs/2212.08969 (2022) - 2021
- [j275]Rama Chellappa, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Richa Singh:
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. Comput. Vis. Image Underst. 208-209: 103227 (2021) - [j274]Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021) - [j273]Chun Pong Lau, Amit Kumar, Rama Chellappa:
Semi-Supervised Landmark-Guided Restoration of Atmospheric Turbulent Images. IEEE J. Sel. Top. Signal Process. 15(2): 204-215 (2021) - [j272]Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa:
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1914-1927 (2021) - [j271]Rama Chellappa, Sergios Theodoridis, André van Schaik:
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109(5): 607-611 (2021) - [j270]Chun Pong Lau, Carlos Domingo Castillo, Rama Chellappa:
ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition From Atmospheric Turbulence. IEEE Trans. Biom. Behav. Identity Sci. 3(2): 240-251 (2021) - [j269]Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
3-D Fourier Scattering Transform and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10312-10327 (2021) - [c480]Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. AAAI 2021: 436-444 - [c479]Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts With Parts-Based Detectors. CVPR Workshops 2021: 933-942 - [c478]Pirazh Khorramshahi, Sai Saketh Rambhatla, Rama Chellappa:
Towards Accurate Visual and Natural Language-Based Vehicle Retrieval Systems. CVPR Workshops 2021: 4183-4192 - [c477]Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava:
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR 2021: 12146-12155 - [c476]Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa:
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. FG 2021: 1-8 - [c475]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG 2021: 1-7 - [c474]Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. ICCV 2021: 9133-9143 - [c473]Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. ICCV 2021: 15067-15076 - [c472]Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images. MICCAI (6) 2021: 75-85 - [c471]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A Multi-Class Hinge Loss for Conditional GANs. WACV 2021: 1289-1298 - [e4]Rama Chellappa, Santanu Chaudhury, Chetan Arora, Parag Chaudhuri, Subhransu Maji:
ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19 - 22, 2021. ACM 2021, ISBN 978-1-4503-7596-2 [contents] - [i118]Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. CoRR abs/2102.00313 (2021) - [i117]Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR abs/2105.01652 (2021) - [i116]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) - [i115]Hossein Souri, Micah Goldblum, Liam Fowl, Rama Chellappa, Tom Goldstein:
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. CoRR abs/2106.08970 (2021) - [i114]Sai Saketh Rambhatla, Michael Jones, Rama Chellappa:
To Boost or not to Boost: On the Limits of Boosted Neural Networks. CoRR abs/2107.13600 (2021) - [i113]Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. CoRR abs/2108.03764 (2021) - [i112]Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa:
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. CoRR abs/2108.09558 (2021) - [i111]Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts with Parts-Based Detectors. CoRR abs/2109.10688 (2021) - [i110]Nitin Balachandran, Jun-Cheng Chen, Rama Chellappa:
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network. CoRR abs/2109.14690 (2021) - [i109]Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa:
Identification of Attack-Specific Signatures in Adversarial Examples. CoRR abs/2110.06802 (2021) - [i108]Steven Schwarcz, Sai Saketh Rambhatla, Rama Chellappa:
Self-Denoising Neural Networks for Few Shot Learning. CoRR abs/2110.13386 (2021) - [i107]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR abs/2111.00598 (2021) - [i106]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR abs/2112.04532 (2021) - [i105]Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning together is better than going alone. CoRR abs/2112.05005 (2021) - [i104]Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. CoRR abs/2112.06323 (2021) - [i103]Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, P. Jonathon Phillips, Rama Chellappa:
Distill and De-bias: Mitigating Bias in Face Recognition using Knowledge Distillation. CoRR abs/2112.09786 (2021) - [i102]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CoRR abs/2112.10652 (2021) - [i101]Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. CoRR abs/2112.11450 (2021) - [i100]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CoRR abs/2112.11610 (2021) - 2020
- [j268]Thomas M. Strat, Rama Chellappa, Vishal M. Patel:
Vision and Robotics. AI Mag. 41(2): 49-65 (2020) - [j267]Lorena González-Manzano, Upal Mahbub, José María de Fuentes, Rama Chellappa:
Impact of injection attacks on sensor-based continuous authentication for smartphones. Comput. Commun. 163: 150-161 (2020) - [j266]Arthita Ghosh, Rama Chellappa:
Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation - Learning Directly from Synthetic Data. SN Comput. Sci. 1(1): 25:1-25:21 (2020) - [j265]Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Segment-Based Methods for Facial Attribute Detection from Partial Faces. IEEE Trans. Affect. Comput. 11(4): 601-613 (2020) - [j264]Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
UID-GAN: Unsupervised Image Deblurring via Disentangled Representations. IEEE Trans. Biom. Behav. Identity Sci. 2(1): 26-39 (2020) - [j263]Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Automatic System for Unconstrained Video-Based Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 2(3): 194-209 (2020) - [c470]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. AAAI 2020: 10460-10469 - [c469]Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa:
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. CVPR Workshops 2020: 2648-2657 - [c468]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674 - [c467]Amit Kumar, Rama Chellappa:
S2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification. CVPR Workshops 2020: 3275-3283 - [c466]G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo:
3DRegNet: A Deep Neural Network for 3D Point Registration. CVPR 2020: 7191-7201 - [c465]Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou:
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. CVPR 2020: 7747-7756 - [c464]Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. ECCV (21) 2020: 51-67 - [c463]Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification. ECCV (14) 2020: 369-386 - [c462]Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. FG 2020: 32-39 - [c461]Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa:
How are attributes expressed in face DCNNs? FG 2020: 85-92 - [c460]Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. FG 2020: 857-862 - [c459]Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. IJCB 2020: 1-9 - [c458]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A study of quality and diversity in K+1 GANs. ICBINB@NeurIPS 2020: 129-135 - [c457]Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. MIDL 2020: 614-623 - [c456]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS 2020 - [c455]Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS 2020 - [c454]