Viraj Prabhu

According to our database, Viraj Prabhu authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Reliable Computer Vision Systems.

Viraj Prabhu

PhD thesis, 2024

We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline.

Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu

Trans. Mach. Learn. Res., 2024

Trust but Verify: Programmatic VLM Evaluation in the Wild.

Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu

CoRR, 2024

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets.

Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images.

Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas

Trans. Mach. Learn. Res., 2023

ICON²: Reliably Benchmarking Predictive Inequity in Object Detection.

Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman

CoRR, 2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas

CoRR, 2023

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images.

Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FACTS: First Amplify Correlations and Then Slice to Discover Bias.

Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency.

Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can domain adaptation make object recognition work for everyone?

Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training.

Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

CoRR, 2021

SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation.

Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings.

Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mitigating Bias in Visual Transformers via Targeted Alignment.

Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models.

Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019

Open Set Medical Diagnosis.

Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain

CoRR, 2019

Few-Shot Learning for Dermatological Disease Diagnosis.

Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Prototypical Clustering Networks for Dermatological Disease Diagnosis.

Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain

CoRR, 2018

Fabrik: An Online Collaborative Neural Network Editor.

Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal, Dhruv Batra

CoRR, 2018

Do explanations make VQA models more predictable to a human?

Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

It Takes Two to Tango: Towards Theory of AI's Mind.

Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh

CoRR, 2017

Evaluating Visual Conversational Agents via Cooperative Human-AI Games.

Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh

Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

The Promise of Premise: Harnessing Question Premises in Visual Question Answering.

Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017