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Pritish Sahu
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2020 – today
- 2024
- [i13]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. CoRR abs/2407.02352 (2024) - 2022
- [c8]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. ICPR 2022: 4448-4455 - [c7]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. ECML/PKDD (3) 2022: 460-476 - [c6]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. WACV 2022: 526-535 - [i12]Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic:
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. CoRR abs/2206.09265 (2022) - [i11]Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran:
Unpacking Large Language Models with Conceptual Consistency. CoRR abs/2209.15093 (2022) - 2021
- [c5]Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach:
Comprehension Based Question Answering using Bloom's Taxonomy. RepL4NLP@ACL-IJCNLP 2021: 20-28 - [i10]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Towards Solving Multimodal Comprehension. CoRR abs/2104.10139 (2021) - [i9]Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran:
Comprehension Based Question Answering using Bloom's Taxonomy. CoRR abs/2106.04653 (2021) - [i8]Pritish Sahu, Vladimir Pavlovic:
DAReN: A Collaborative Approach Towards Reasoning And Disentangling. CoRR abs/2109.13156 (2021) - [i7]Pritish Sahu, Karan Sikka, Ajay Divakaran:
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. CoRR abs/2110.11899 (2021) - 2020
- [j1]Behnam Gholami
, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29: 3993-4002 (2020) - [i6]Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer:
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. CoRR abs/2011.10889 (2020)
2010 – 2019
- 2019
- [c4]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR 2019: 4380-4390 - [c3]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV 2019: 2979-2987 - [c2]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops 2019: 1327-1336 - [i5]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR abs/1902.01568 (2019) - [i4]Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR abs/1902.08727 (2019) - [i3]Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic:
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR abs/1909.02820 (2019) - [i2]Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic:
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/1909.12366 (2019) - 2018
- [i1]Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR abs/1810.11547 (2018) - 2016
- [c1]Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops 2016: 1-9
Coauthor Index
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last updated on 2024-08-08 19:15 CEST by the dblp team
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