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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
- 2021
[j271]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)- [j270]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) - [j269]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) - [j268]Rama Chellappa, Sergios Theodoridis, André van Schaik:
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109(5): 607-611 (2021) - [j267]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) - [c473]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 - [c472]Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts With Parts-Based Detectors. CVPR Workshops 2021: 933-942 - [c471]Pirazh Khorramshahi, Sai Saketh Rambhatla, Rama Chellappa:
Towards Accurate Visual and Natural Language-Based Vehicle Retrieval Systems. CVPR Workshops 2021: 4183-4192 - [c470]Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava:
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR 2021: 12146-12155 - [c469]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A Multi-Class Hinge Loss for Conditional GANs. WACV 2021: 1289-1298 - [i106]Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. CoRR abs/2102.00313 (2021) - [i105]Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR abs/2105.01652 (2021) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]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) - 2020
- [j266]Thomas M. Strat, Rama Chellappa, Vishal M. Patel:
Vision and Robotics. AI Mag. 41(2): 49-65 (2020) - [j265]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) - [j264]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) - [j263]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) - [j262]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) - [j261]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) - [c468]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. AAAI 2020: 10460-10469 - [c467]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 - [c466]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 - [c465]Amit Kumar, Rama Chellappa:
S2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification. CVPR Workshops 2020: 3275-3283 - [c464]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 - [c463]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 - [c462]Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. ECCV (21) 2020: 51-67 - [c461]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 - [c460]Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. FG 2020: 32-39 - [c459]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 - [c458]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 - [c457]Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. IJCB 2020: 1-9 - [c456]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 - [c455]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS 2020 - [c454]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 - [c453]Joshua Gleason, Steven Schwarcz, Rajeev Ranjan, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers. WACV Workshops 2020: 107-116 - [c452]Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Real-time Detection of Activities in Untrimmed Videos. WACV Workshops 2020: 117-125 - [i99]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. CoRR abs/2002.06303 (2020) - [i98]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Spatial Priming for Detecting Human-Object Interactions. CoRR abs/2004.04851 (2020) - [i97]Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification. CoRR abs/2004.06271 (2020) - [i96]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. CoRR abs/2004.14619 (2020) - [i95]Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. CoRR abs/2005.06040 (2020) - [i94]Prithviraj Dhar, Joshua Gleason, Hossein Souri, Carlos Domingo Castillo, Rama Chellappa:
An adversarial learning algorithm for mitigating gender bias in face recognition. CoRR abs/2006.07845 (2020) - [i93]Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. CoRR abs/2008.11976 (2020) - [i92]Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR abs/2009.02470 (2020) - [i91]Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi:
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue. CoRR abs/2009.11921 (2020) - [i90]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR abs/2010.05862 (2020) - [i89]Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose And Joint-Aware Action Recognition. CoRR abs/2010.08164 (2020) - [i88]Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. CoRR abs/2012.02407 (2020)
2010 – 2019
- 2019
- [j260]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
From BoW to CNN: Two Decades of Texture Representation for Texture Classification. Int. J. Comput. Vis. 127(1): 74-109 (2019) - [j259]Chen Change Loy, Xiaoming Liu, Tae-Kyun Kim, Fernando De la Torre, Rama Chellappa:
Editorial: Special Issue on Deep Learning for Face Analysis. Int. J. Comput. Vis. 127(6-7): 533-536 (2019) - [j258]Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Partial face detection in the mobile domain. Image Vis. Comput. 82: 1-17 (2019) - [j257]Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 121-135 (2019) - [j256]Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019) - [j255]Boyu Lu, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification. IEEE Trans. Biom. Behav. Identity Sci. 1(1): 42-55 (2019) - [j254]Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
A Fast and Accurate System for Face Detection, Identification, and Verification. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 82-96 (2019) - [j253]Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 97-108 (2019) - [j252]Upal Mahbub, Jukka Komulainen, Denzil Ferreira, Rama Chellappa:
Continuous Authentication of Smartphones Based on Application Usage. IEEE Trans. Biom. Behav. Identity Sci. 1(3): 165-180 (2019) - [c451]Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. BMVC 2019: 225 - [c450]Jingxiao Zheng, Jun-Cheng Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Hybrid Dictionary Learning and Matching for Video-based Face Verification. BTAS 2019: 1-10 - [c449]Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa:
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. CVPR Workshops 2019: 239-246 - [c448]Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [c447]Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning Without Memorizing. CVPR 2019: 5138-5146 - [c446]Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. CVPR 2019: 10225-10234 - [c445]Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CVPR 2019: 10512-10521 - [c444]Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition. ICCV 2019: 703-712 - [c443]Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa:
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. ICCV 2019: 6131-6140 - [c442]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV 2019: 6499-6507 - [c441]Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. ICCV Workshops 2019: 542-550 - [c440]Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML 2019: 414-423 - [c439]Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS 2019: 5144-5147 - [c438]Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf:
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI 2019: 1995-2001 - [c437]Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. WACV 2019: 141-150 - [c436]Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On Measuring the Iconicity of a Face. WACV 2019: 2137-2145 - [i87]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR abs/1902.00415 (2019) - [i86]Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On measuring the iconicity of a face. CoRR abs/1903.01581 (2019) - [i85]Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. CoRR abs/1903.01594 (2019) - [i84]G. Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa:
3DRegNet: A Deep Neural Network for 3D Point Registration. CoRR abs/1904.01701 (2019) - [i83]Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. CoRR abs/1904.03181 (2019) - [i82]Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connection between Tracklets for Unconstrained Video-based Face Recognition. CoRR abs/1905.02756 (2019) - [i81]Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa:
A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification. CoRR abs/1905.03397 (2019) - [i80]Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images. CoRR abs/1906.06804 (2019) - [i79]Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CoRR abs/1907.00273 (2019) - [i78]Amit Kumar, Rama Chellappa:
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning. CoRR abs/1907.13255 (2019) - [i77]Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, Shaohua Kevin Zhou:
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement. CoRR abs/1908.05599 (2019) - [i76]Cheng Peng, Wei-An Lin, Rama Chellappa, Shaohua Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. CoRR abs/1908.05615 (2019) - [i75]Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa:
Wasserstein Distance Based Domain Adaptation for Object Detection. CoRR abs/1909.08675 (2019) - [i74]Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. CoRR abs/1910.03119 (2019) - [i73]Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa:
How are attributes expressed in face DCNNs? CoRR abs/1910.05657 (2019) - [i72]Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa:
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference. CoRR abs/1911.10291 (2019) - [i71]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
cGANs with Multi-Hinge Loss. CoRR abs/1912.04216 (2019) - 2018
- [j251]Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks. Int. J. Comput. Vis. 126(2-4): 272-291 (2018) - [j250]Wei-An Lin, Jun-Cheng Chen, Rajeev Ranjan, Ankan Bansal, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa:
Proximity-Aware Hierarchical Clustering of unconstrained faces. Image Vis. Comput. 77: 33-44 (2018) - [j249]Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors. Image Vis. Comput. 79: 49-62 (2018) - [j248]Ching-Hui Chen, Vishal M. Patel, Rama Chellappa:
Learning from Ambiguously Labeled Face Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1653-1667 (2018) - [j247]Rajeev Ranjan, Swami Sankaranarayanan, Ankan Bansal, Navaneeth Bodla, Jun-Cheng Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans. IEEE Signal Process. Mag. 35(1): 66-83 (2018) - [j246]Xiangyuan Lan, Shengping Zhang, Pong C. Yuen, Rama Chellappa:
Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker. IEEE Trans. Image Process. 27(4): 2022-2037 (2018) - [c435]Maya Kabkab, Pouya Samangouei, Rama Chellappa:
Task-Aware Compressed Sensing With Generative Adversarial Networks. AAAI 2018: 2297-2304 - [c434]Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. AAAI 2018: 4008-4015 - [c433]Hui Ding, Kumar Sricharan, Rama Chellappa:
ExprGAN: Facial Expression Editing With Controllable Expression Intensity. AAAI 2018: 6781-6788 - [c432]Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
A Deep Cascade Network for Unaligned Face Attribute Classification. AAAI 2018: 6789-6796 - [c431]Emily M. Hand, Carlos Domingo Castillo, Rama Chellappa:
Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction. AAAI 2018: 6878-6885 - [c430]Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Nonlinear Subspace Feature Enhancement for Image Set Classification. ACCV (4) 2018: 142-158 - [c429]Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. CVPR Workshops 2018: 1-9 - [c428]Ankan Bansal, Rajeev Ranjan, Carlos Domingo Castillo, Rama Chellappa:
Deep Features for Recognizing Disguised Faces in the Wild. CVPR Workshops 2018: 10-16 - [c427]Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60 - [c426]Amit Kumar, Pirazh Khorramshahi, Wei-An Lin, Prithviraj Dhar, Jun-Cheng Chen, Rama Chellappa:
A Semi-Automatic 2D Solution for Vehicle Speed Estimation From Monocular Videos. CVPR Workshops 2018: 137-144 - [c425]Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa:
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery. CVPR Workshops 2018: 257-261 - [c424]Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa:
Predicting Dynamical Evolution of Human Activities From a Single Image. CVPR Workshops 2018: 383-392 - [c423]Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment. CVPR 2018: 430-439 - [c422]Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR 2018: 3752-3761 - [c421]Wei-An Lin, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Deep Density Clustering of Unconstrained Faces. CVPR 2018: 8128-8137 - [c420]Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa:
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks. CVPR 2018: 8503-8512 - [c419]Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran:
Zero-Shot Object Detection. ECCV (1) 2018: 397-414 - [c418]Navaneeth Bodla, Gang Hua, Rama Chellappa:
Semi-supervised FusedGAN for Conditional Image Generation. ECCV (5) 2018: 689-704 - [c417]Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa:
Deep Regionlets for Object Detection. ECCV (11) 2018: 827-844 - [c416]Jun-Cheng Chen, Wei-An Lin, Jingxiao Zheng, Rama Chellappa:
A Real-Time Multi-Task Single Shot Face Detector. ICIP 2018: 176-180 - [c415]Pouya Samangouei, Maya Kabkab, Rama Chellappa:
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. ICLR (Poster) 2018 - [c414]Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa:
MetaReg: Towards Domain Generalization using Meta-Regularization. NeurIPS 2018: 1006-1016 - [c413]