Michael Cogswell

38 papers A* 6A 4C 2Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. WACV Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2025	J	`jnl`	Punching Bag vs. Punching Person: Motion Transferability in Videos. CoRR Raiyaan Abdullah, Jared Claypoole, Michael Cogswell, Ajay Divakaran, Yogesh S. Rawat
2024	—	`conf`	BloomVQA: Assessing Hierarchical Multi-modal Comprehension. ACL (Findings) Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
2024	A*	`conf`	DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CVPR Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
2024	—	`conf`	Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
2024	—	`conf`	Probing Conceptual Understanding of Large Visual-Language Models. CVPR Workshops Madeline Schiappa, Raiyaan Abdullah, Shehreen Azad, Jared Claypoole, Michael Cogswell, Ajay Divakaran, Yogesh S. Rawat
2023	J	`jnl`	A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
2023	J	`jnl`	BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
2023	J	`jnl`	DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CoRR Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
2023	J	`jnl`	Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
2023	J	`jnl`	Probing Conceptual Understanding of Large Visual-Language Models. CoRR Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, Yogesh Singh Rawat
2022	A*	`conf`	Trigger Hunting with a Topological Prior for Trojan Detection. ICLR Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
2022	J	`jnl`	Unpacking Large Language Models with Conceptual Consistency. CoRR Pritish Sahu, Michael Cogswell, Yunye Gong, 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`	Improving Users' Mental Model with Attention-directed Counterfactual Edits. CoRR Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas
2021	J	`jnl`	Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. CoRR Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas
2021	J	`jnl`	Trigger Hunting with a Topological Prior for Trojan Detection. CoRR Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
2020	A*	`conf`	Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. NeurIPS Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
2020	J	`jnl`	Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. CoRR Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
2020	—	`—`	Disentangling neural network representations for improved generalization. Michael Cogswell
2020	J	`jnl`	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. Int. J. Comput. Vis. Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
2019	J	`jnl`	Emergence of Compositional Language with Deep Generational Transmission. CoRR Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
2018	A*	`conf`	Diverse Beam Search for Improved Description of Complex Scenes. AAAI Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
2017	A*	`conf`	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. ICCV Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
2016	J	`jnl`	Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. CoRR Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
2016	J	`jnl`	Grad-CAM: Why did you say that? CoRR Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
2016	J	`jnl`	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. CoRR Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
2016	A*	`conf`	Reducing Overfitting in Deep Networks by Decorrelating Representations. ICLR (Poster) Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra
2016	—	`conf`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2016	J	`jnl`	Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
2015	J	`jnl`	Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra
2014	J	`jnl`	Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra
2012	A	`conf`	Running students' software tests against each others' code: new life for an old "gimmick". SIGCSE Stephen H. Edwards, Zalia Shams, Michael Cogswell, Robert C. Senkbeil
2002	A	`conf`	A Structured Graphical Tool for Analyzing Boundary Scan Violations. ITC Michael Cogswell, Shazia Mardhani, Kevin Melocco, Hina Arora
2000	C	`conf`	An Automatic Validation Methodology for Logic BIST in High Performance VLSI Design. ICCD Michael Cogswell, Don Pearl, James Sage, Alan Troidl
2000	A	`conf`	Test structure verification of logical BIST: problems and solutions. ITC Michael Cogswell, Don Pearl, James Sage, Alan Troidl
1994	C	`conf`	PowerPC Visual Simulator: Peeking Under the Hood of the PowerPC Engine. ICCD M. Armstead, Michael Cogswell, S. Halverson, T. Musta