Pritish Sahu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Textual Entailment Recognition

Question Answering

Domain Adaptation

Top Venues

IEEE Trans. Image Process.

Publications

Pritish Sahu, Karan Sikka, Ajay Divakaran
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. CoRR (2024)
Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. ECML/PKDD (3) (2022)
Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
SAViR-T: Spatially Attentive Visual Reasoning with Transformers. CoRR (2022)
Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran
Unpacking Large Language Models with Conceptual Consistency. CoRR (2022)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. WACV (2022)
Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. ICPR (2022)
Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach
Comprehension Based Question Answering using Bloom's Taxonomy. RepL4NLP@ACL-IJCNLP (2021)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Towards Solving Multimodal Comprehension. CoRR (2021)
Pritish Sahu, Karan Sikka, Ajay Divakaran
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. CoRR (2021)
Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran
Comprehension Based Question Answering using Bloom's Taxonomy. CoRR (2021)
Pritish Sahu, Vladimir Pavlovic
DAReN: A Collaborative Approach Towards Reasoning And Disentangling. CoRR (2021)
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 (2020)
Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29 (2020)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR (2019)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR (2019)
Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR (2018)
Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops (2016)