Viraj Prabhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Object Recognition

Disease Diagnosis

Domain Adaptation

Top Venues

Publications

Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. Trans. Mach. Learn. Res. 2024 (2024)
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. CoRR (2024)
Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR (2024)
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR (2024)
Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman
: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR (2023)
Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR (2023)
Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023)
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
FACTS: First Amplify Correlations and Then Slice to Discover Bias. CoRR (2023)
Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR (2023)
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS (2023)
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR (2023)
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR (2023)
Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS (2023)
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
FACTS: First Amplify Correlations and Then Slice to Discover Bias. ICCV (2023)
Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR (2023)
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. NeurIPS (2022)
Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. CoRR (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CVPR Workshops (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CoRR (2022)
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV (2021)
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. BMVC (2021)
Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. CoRR (2021)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. ICCV (2021)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. CoRR (2021)
Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman
Mitigating Bias in Visual Transformers via Targeted Alignment. BMVC (2021)
Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR (2020)
Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. CoRR (2020)
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain
Open Set Medical Diagnosis. CoRR (2019)
Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC (2019)
Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh
Do explanations make VQA models more predictable to a human? EMNLP (2018)
Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain
Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR (2018)
Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh
Do Explanations make VQA Models more Predictable to a Human? CoRR (2018)
Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal, Dhruv Batra
Fabrik: An Online Collaborative Neural Network Editor. CoRR (2018)
Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. CoRR (2017)
Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh
It Takes Two to Tango: Towards Theory of AI's Mind. CoRR (2017)
Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. EMNLP (2017)
Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
Evaluating Visual Conversational Agents via Cooperative Human-AI Games. CoRR (2017)
Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
Evaluating Visual Conversational Agents via Cooperative Human-AI Games. HCOMP (2017)