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ORCIDViraj Prabhu
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2020 – today
- 2024
[b1]Viraj Prabhu:
Towards Reliable Computer Vision Systems. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [j2]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) - [c15]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR 2024 - [c14]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 - [i22]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 abs/2402.00868 (2024) - [i21]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:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - 2023
- [j1]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) - [c13]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. ICCV 2023: 4771-4781 - [c12]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 - [c11]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS 2023 - [i20]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. CoRR abs/2302.04358 (2023) - [i19]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 abs/2302.04832 (2023) - [i18]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR abs/2305.19164 (2023) - [i17]Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky, Judy Hoffman:
ICON2: Reliably Benchmarking Predictive Inequity in Object Detection. CoRR abs/2306.04482 (2023) - [i16]Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. CoRR abs/2309.17430 (2023) - [i15]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 abs/2310.19909 (2023) - [i14]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR abs/2312.06106 (2023) - 2022
- [c10]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman
, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CVPR Workshops 2022: 3980-3987 - [c9]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. NeurIPS 2022 - [i13]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CoRR abs/2204.11122 (2022) - [i12]Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman:
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency. CoRR abs/2206.08222 (2022) - 2021
- [c8]Sruthi Sudhakar, Viraj Prabhu, Arvindkumar Krishnakumar, Judy Hoffman:
Mitigating Bias in Visual Transformers via Targeted Alignment. BMVC 2021: 138 - [c7]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. BMVC 2021: 143 - [c6]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV 2021: 8485-8494 - [c5]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. ICCV 2021: 8538-8547 - [i11]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. CoRR abs/2107.10140 (2021) - [i10]Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar, Judy Hoffman:
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models. CoRR abs/2110.15499 (2021) - 2020
- [i9]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR abs/2010.08666 (2020) - [i8]Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. CoRR abs/2012.11460 (2020)
2010 – 2019
- 2019
- [c4]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain:
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC 2019: 532-552 - [i7]Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain:
Open Set Medical Diagnosis. CoRR abs/1910.02830 (2019) - 2018
- [c3]Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do explanations make VQA models more predictable to a human? EMNLP 2018: 1036-1042 - [i6]Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal, Dhruv Batra:
Fabrik: An Online Collaborative Neural Network Editor. CoRR abs/1810.11649 (2018) - [i5]Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do Explanations make VQA Models more Predictable to a Human? CoRR abs/1810.12366 (2018) - [i4]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain:
Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR abs/1811.03066 (2018) - 2017
- [c2]Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee:
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. EMNLP 2017: 926-935 - [c1]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: 2-10 - [i3]Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh:
It Takes Two to Tango: Towards Theory of AI's Mind. CoRR abs/1704.00717 (2017) - [i2]Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee:
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. CoRR abs/1705.00601 (2017) - [i1]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 abs/1708.05122 (2017)
Coauthor Index
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