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PROVES: Establishing Image Provenance using Semantic Signatures



Mingyang Xie , Manav Kulshrestha , Shaojie Wang , Jinghan Yang , Ayan Chakrabarti , Ning Zhang , Yevgeniy Vorobeychik


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Leveraging redundancy in attention with Reuse Transformers



Srinadh Bhojanapalli , Ayan Chakrabarti , Andreas Veit , Michal Lukasik , Himanshu Jain , Frederick Liu , Yin-Wen Chang , Sanjiv Kumar


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Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation



Srinadh Bhojanapalli , Ayan Chakrabarti , Himanshu Jain , Sanjiv Kumar , Michal Lukasik , Andreas Veit

* 14 pages 

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Understanding Robustness of Transformers for Image Classification



Srinadh Bhojanapalli , Ayan Chakrabarti , Daniel Glasner , Daliang Li , Thomas Unterthiner , Andreas Veit


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Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments



Zhihao Xia , Michaël Gharbi , Federico Perazzi , Kalyan Sunkavalli , Ayan Chakrabarti

* Project page at https://www.cse.wustl.edu/~zhihao.xia/deepfnf/ 

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Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints



Ayan Chakrabarti , Roch Guérin , Chenyang Lu , Jiangnan Liu

* Code available at https://github.com/ayanc/edgeml.mdp 

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Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing



Jinghan Yang , Adith Boloor , Ayan Chakrabarti , Xuan Zhang , Yevgeniy Vorobeychik


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A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing



Francesco Pittaluga , Zaid Tasneem , Justin Folden , Brevin Tilmon , Ayan Chakrabarti , Sanjeev J. Koppal

* 17 pages, 6 figures, project site: https://www.fpittaluga.com/adaptivelidar 

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Basis Prediction Networks for Effective Burst Denoising with Large Kernels



Zhihao Xia , Federico Perazzi , Michaël Gharbi , Kalyan Sunkavalli , Ayan Chakrabarti


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