Pritish Sahu - RankMe

28 papers A* 4A 1B 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs. ICLR Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic
2025	J	`jnl`	GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs. CoRR Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic
2025	—	`conf`	MINDS: A Cross-Cultural Dialogue Corpus for Social Norm Classification and Adherence Detection. IJCNLP-AACL (Findings) Pritish Sahu, Anirudh Som, Ajay Divakaran, Dimitra Vergyri
2025	J	`jnl`	MINDS: A Cross-cultural Dialogue Corpus for Social Norm Classification and Adherence Detection. CoRR Pritish Sahu, Anirudh Som, Dimitra Vergyri, Ajay Divakaran
2025	J	`jnl`	SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation. CoRR Abhinav Rajvanshi, Pritish Sahu, Tixiao Shan, Karan Sikka, Han-Pang Chiu
2024	A*	`conf`	Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. EMNLP Pritish Sahu, Karan Sikka, Ajay Divakaran
2024	J	`jnl`	Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. CoRR Pritish Sahu, Karan Sikka, Ajay Divakaran
2022	A	`conf`	Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. WACV Pritish Sahu, Karan Sikka, Ajay Divakaran
2022	B	`conf`	DAReN: A Collaborative Approach Towards Visual Reasoning And Disentangling. ICPR Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
2022	—	`conf`	SAViR-T: Spatially Attentive Visual Reasoning with Transformers. ECML/PKDD (3) Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
2022	J	`jnl`	SAViR-T: Spatially Attentive Visual Reasoning with Transformers. CoRR Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic
2022	J	`jnl`	Unpacking Large Language Models with Conceptual Consistency. CoRR Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran
2021	J	`jnl`	Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. CoRR Pritish Sahu, Karan Sikka, Ajay Divakaran
2021	—	`conf`	Comprehension Based Question Answering using Bloom's Taxonomy. RepL4NLP@ACL-IJCNLP Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach
2021	J	`jnl`	Comprehension Based Question Answering using Bloom's Taxonomy. CoRR Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran
2021	J	`jnl`	DAReN: A Collaborative Approach Towards Reasoning And Disentangling. CoRR Pritish Sahu, Vladimir Pavlovic
2021	J	`jnl`	Towards Solving Multimodal Comprehension. CoRR Pritish Sahu, Karan Sikka, Ajay Divakaran
2020	J	`jnl`	Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
2020	J	`jnl`	Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. CoRR Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer
2019	A*	`conf`	Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
2019	J	`jnl`	Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
2019	J	`jnl`	Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
2019	—	`conf`	Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
2019	J	`jnl`	Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
2019	A*	`conf`	Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
2019	J	`jnl`	Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
2018	J	`jnl`	Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic
2016	—	`conf`	Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic