Ayan Chakrabarti

88 papers A* 18A 10B 1Misc 2Journal 49Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analyzing Similarity Metrics for Data Selection for Language Model Pretraining. CoRR Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar
2024	J	`jnl`	A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. CoRR Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar
2024	J	`jnl`	LatentCRF: Continuous CRF for Efficient Latent Diffusion. CoRR Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit, Ayan Chakrabarti, Daniel Glasner, Michael S. Ryoo, Srikumar Ramalingam, Sanjiv Kumar
2024	A*	`conf`	MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. CVPR Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
2024	A*	`conf`	Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CVPR Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
2024	J	`jnl`	Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
2024	J	`jnl`	SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar
2023	A*	`conf`	Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS 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
2023	J	`jnl`	Benchmarking Robustness to Adversarial Image Obfuscations. CoRR 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
2023	A*	`conf`	LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. ISCA Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang
2023	J	`jnl`	SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
2023	J	`jnl`	Substance or Style: What Does Your Image Embedding Know? CoRR Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins
2023	J	`jnl`	Tree Recovery by Dynamic Programming. IEEE Trans. Pattern Anal. Mach. Intell. Gustavo Gratacós, Ayan Chakrabarti, Tao Ju
2022	J	`jnl`	Adaptive Edge Offloading for Image Classification Under Rate Limit. CoRR Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu
2022	J	`jnl`	Adaptive Edge Offloading for Image Classification Under Rate Limit. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu
2022	A	`conf`	Adversarial Robustness of Deep Sensor Fusion Models. WACV Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
2022	A	`conf`	HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. ISLPED Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang
2022	A	`conf`	PROVES: Establishing Image Provenance using Semantic Signatures. WACV Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
2021	—	`conf`	Can Optical Trojans Assist Adversarial Perturbations? ICCVW Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
2021	A*	`conf`	Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CVPR Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
2021	J	`jnl`	Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit
2021	J	`jnl`	Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2021	J	`jnl`	Leveraging redundancy in attention with Reuse Transformers. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar
2021	J	`jnl`	PROVES: Establishing Image Provenance using Semantic Signatures. CoRR Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
2021	Misc	`conf`	Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. SEC Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu
2021	A*	`conf`	Understanding Robustness of Transformers for Image Classification. ICCV Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2021	J	`jnl`	Understanding Robustness of Transformers for Image Classification. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2020	J	`jnl`	A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing. CoRR Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal
2020	A*	`conf`	Basis Prediction Networks for Effective Burst Denoising With Large Kernels. CVPR Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
2020	J	`jnl`	Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CoRR Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
2020	A	`conf`	Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. WACV Kyle Yee, Ayan Chakrabarti
2020	J	`jnl`	Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing. CoRR Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
2020	A*	`conf`	Generating and Exploiting Probabilistic Monocular Depth Estimates. CVPR Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti
2020	J	`jnl`	Guest Editors' Introduction to the Special Section on Computational Photography. IEEE Trans. Pattern Anal. Mach. Intell. Ayan Chakrabarti, Kalyan Sunkavalli, David A. Forsyth
2020	A	`conf`	Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. WACV Zhihao Xia, Ayan Chakrabarti
2020	J	`jnl`	NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2020	A*	`conf`	Protecting Geolocation Privacy of Photo Collections. AAAI Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
2020	J	`jnl`	Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. CoRR Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu
2020	—	`conf`	Towards a MEMS-based Adaptive LIDAR. 3DV Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal
2019	A*	`conf`	Backprop with Approximate Activations for Memory-efficient Network Training. NeurIPS Ayan Chakrabarti, Benjamin Moseley
2019	J	`jnl`	Backprop with Approximate Activations for Memory-efficient Network Training. CoRR Ayan Chakrabarti, Benjamin Moseley
2019	J	`jnl`	Basis Prediction Networks for Effective Burst Denoising with Large Kernels. CoRR Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
2019	J	`jnl`	Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. CoRR Kyle Yee, Ayan Chakrabarti
2019	J	`jnl`	Generating and Exploiting Probabilistic Monocular Depth Estimates. CoRR Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti
2019	A*	`conf`	Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
2019	A	`conf`	Learning Privacy Preserving Encodings Through Adversarial Training. WACV Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
2019	A*	`conf`	Learning to Separate Multiple Illuminants in a Single Image. CVPR Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
2019	A	`conf`	NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. DATE Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
2019	A	`conf`	Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. ICCAD Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2019	J	`jnl`	Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. CoRR Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2019	J	`jnl`	Protecting Geolocation Privacy of Photo Collections. CoRR Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
2019	A*	`conf`	Training Image Estimators without Image Ground Truth. NeurIPS Zhihao Xia, Ayan Chakrabarti
2019	J	`jnl`	Training Image Estimators without Image Ground-Truth. CoRR Zhihao Xia, Ayan Chakrabarti
2018	J	`jnl`	Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. CoRR Zhihao Xia, Ayan Chakrabarti
2018	J	`jnl`	Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
2018	J	`jnl`	Learning Privacy Preserving Encodings through Adversarial Training. CoRR Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
2018	J	`jnl`	Learning to Separate Multiple Illuminants in a Single Image. CoRR Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
2017	J	`jnl`	Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
2017	A	`conf`	Jointly optimizing placement and inference for beacon-based localization. IROS Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
2017	J	`jnl`	Stabilizing GAN Training with Multiple Random Projections. CoRR Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti
2016	—	`conf`	A Neural Approach to Blind Motion Deblurring. ECCV (3) Ayan Chakrabarti
2016	J	`jnl`	A Neural Approach to Blind Motion Deblurring. CoRR Ayan Chakrabarti
2016	—	`conf`	Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. NIPS Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich
2016	J	`jnl`	Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. CoRR Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich
2016	J	`jnl`	Examining the Impact of Blur on Recognition by Convolutional Networks. CoRR Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich
2016	—	`conf`	Learning Sensor Multiplexing Design through Back-propagation. NIPS Ayan Chakrabarti
2016	J	`jnl`	Learning Sensor Multiplexing Design through Back-propagation. CoRR Ayan Chakrabarti
2016	—	`conf`	Single-Image RGB Photometric Stereo with Spatially-Varying Albedo. 3DV Ayan Chakrabarti, Kalyan Sunkavalli
2016	J	`jnl`	Single-image RGB Photometric Stereo With Spatially-varying Albedo. CoRR Ayan Chakrabarti, Kalyan Sunkavalli
2015	—	`conf`	Color Constancy by Learning to Predict Chromaticity from Luminance. NIPS Ayan Chakrabarti
2015	J	`jnl`	Color Constancy by Learning to Predict Chromaticity from Luminance. CoRR Ayan Chakrabarti
2015	J	`jnl`	From Shading to Local Shape. IEEE Trans. Pattern Anal. Mach. Intell. Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler
2015	A*	`conf`	Low-level vision by consensus in a spatial hierarchy of regions. CVPR Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler
2014	J	`jnl`	Low-level Vision by Consensus in a Spatial Hierarchy of Regions. CoRR Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler
2014	J	`jnl`	Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2014	B	`conf`	Rethinking color cameras. ICCP Ayan Chakrabarti, William T. Freeman, Todd E. Zickler
2013	J	`jnl`	From Shading to Local Shape. CoRR Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler
2013	J	`jnl`	Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2012	J	`jnl`	Color Constancy with Spatio-Spectral Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler
2012	—	`conf`	Depth and Deblurring from a Spectrally-Varying Depth-of-Field. ECCV (5) Ayan Chakrabarti, Todd E. Zickler
2012	J	`jnl`	Image Restoration with Signal-dependent Camera Noise CoRR Ayan Chakrabarti, Todd E. Zickler
2011	A*	`conf`	Learning object color models from multi-view constraints. CVPR Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell
2011	A*	`conf`	Statistics of real-world hyperspectral images. CVPR Ayan Chakrabarti, Todd E. Zickler
2010	A*	`conf`	Analyzing spatially-varying blur. CVPR Ayan Chakrabarti, Todd E. Zickler, William T. Freeman
2009	A	`conf`	An Empirical Camera Model for Internet Color Vision. BMVC Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler
2008	A*	`conf`	Color constancy beyond bags of pixels. CVPR Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler
2008	Misc	`conf`	Effective separation of sparse and non-sparse image features for denoising. ICASSP Ayan Chakrabarti, Keigo Hirakawa
2007	J	`jnl`	Super-Resolution of Face Images Using Kernel PCA-Based Prior. IEEE Trans. Multim. Ayan Chakrabarti, A. N. Rajagopalan, Rama Chellappa