| 2024 | CVPR | MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. | Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar |
| 2024 | CVPR | Rethinking FID: Towards a Better Evaluation Metric for Image Generation. | Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar |
| 2023 | ISCA | LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. | Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang |
| 2022 | ISLPED | HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. | Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang |
| 2022 | WACV | Adversarial Robustness of Deep Sensor Fusion Models. | Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik |
| 2022 | WACV | PROVES: Establishing Image Provenance using Semantic Signatures. | Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik |
| 2021 | CVPR | Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. | Zhihao Xia, Michal Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti |
| 2021 | ICCV | Understanding Robustness of Transformers for Image Classification. | Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit |
| 2020 | AAAI | Protecting Geolocation Privacy of Photo Collections. | Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik |
| 2020 | CVPR | Basis Prediction Networks for Effective Burst Denoising With Large Kernels. | Zhihao Xia, Federico Perazzi, Michal Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti |
| 2020 | CVPR | Generating and Exploiting Probabilistic Monocular Depth Estimates. | Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti |
| 2020 | WACV | Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. | Zhihao Xia, Ayan Chakrabarti |
| 2020 | WACV | Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. | Kyle Yee, Ayan Chakrabarti |
| 2019 | CVPR | Learning to Separate Multiple Illuminants in a Single Image. | Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan |
| 2019 | DATE | NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. | Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang |
| 2019 | ICCAD | Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. | Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang |
| 2019 | ICRA | Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. | Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter |
| 2019 | WACV | Learning Privacy Preserving Encodings Through Adversarial Training. | Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti |
| 2017 | IROS | Jointly optimizing placement and inference for beacon-based localization. | Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter |
| 2016 | ECCV | A Neural Approach to Blind Motion Deblurring. | Ayan Chakrabarti |
| 2015 | CVPR | Low-level vision by consensus in a spatial hierarchy of regions. | Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler |
| 2014 | ICCP | Rethinking color cameras. | Ayan Chakrabarti, William T. Freeman, Todd E. Zickler |
| 2012 | ECCV | Depth and Deblurring from a Spectrally-Varying Depth-of-Field. | Ayan Chakrabarti, Todd E. Zickler |
| 2011 | CVPR | Statistics of real-world hyperspectral images. | Ayan Chakrabarti, Todd E. Zickler |
| 2011 | CVPR | Learning object color models from multi-view constraints. | Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell |
| 2010 | CVPR | Analyzing spatially-varying blur. | Ayan Chakrabarti, Todd E. Zickler, William T. Freeman |
| 2009 | BMVC | An Empirical Camera Model for Internet Color Vision. | Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler |
| 2008 | CVPR | Color constancy beyond bags of pixels. | Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler |
| 2008 | ICASSP | Effective separation of sparse and non-sparse image features for denoising. | Ayan Chakrabarti, Keigo Hirakawa |