Chakrabarti, Ayan

26 publications

NeurIPS 2025 Analyzing Similarity Metrics for Data Selection for Language Model Pretraining Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar

CVPR 2024 MarkovGen: Structured Prediction for Efficient Text-to-Image Generation Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

CVPR 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar

NeurIPS 2023 Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

NeurIPSW 2023 Probing the Equivariance of Image Embeddings Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins

WACV 2022 Adversarial Robustness of Deep Sensor Fusion Models Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik

WACV 2022 PROVES: Establishing Image Provenance Using Semantic Signatures Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik

ICCVW 2021 Can Optical Trojans Assist Adversarial Perturbations? Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

CVPR 2021 Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments Zhihao Xia, Michael Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti

ICCV 2021 Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit

WACV 2020 Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures Kyle Yee, Ayan Chakrabarti

WACV 2020 Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising Zhihao Xia, Ayan Chakrabarti

AAAI 2020 Protecting Geolocation Privacy of Photo Collections Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

NeurIPS 2019 Backprop with Approximate Activations for Memory-Efficient Network Training Ayan Chakrabarti, Benjamin Moseley

WACV 2019 Learning Privacy Preserving Encodings Through Adversarial Training Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

NeurIPS 2019 Training Image Estimators Without Image Ground Truth Zhihao Xia, Ayan Chakrabarti

ECCV 2016 A Neural Approach to Blind Motion Deblurring Ayan Chakrabarti

NeurIPS 2016 Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich

NeurIPS 2016 Learning Sensor Multiplexing Design Through Back-Propagation Ayan Chakrabarti

NeurIPS 2015 Color Constancy by Learning to Predict Chromaticity from Luminance Ayan Chakrabarti

CVPR 2015 Low-Level Vision by Consensus in a Spatial Hierarchy of Regions Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd Zickler

ECCV 2012 Depth and Deblurring from a Spectrally-Varying Depth-of-Field Ayan Chakrabarti, Todd E. Zickler

CVPR 2011 Learning Object Color Models from Multi-View Constraints Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell

CVPR 2011 Statistics of Real-World Hyperspectral Images Ayan Chakrabarti, Todd E. Zickler

CVPR 2010 Analyzing Spatially-Varying Blur Ayan Chakrabarti, Todd E. Zickler, William T. Freeman

CVPR 2008 Color Constancy Beyond Bags of Pixels Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler