Michael Cogswell

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 26

Top Topics

Language Models For Information Retrieval

Conceptual Understanding

Smoothing Methods

Top Venues

Int. J. Comput. Vis.

Publications

Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT (2024)
Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. ACL (Findings) (2024)
Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR (2023)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR (2023)
Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. CoRR (2023)
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CoRR (2023)
Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, Yogesh Singh Rawat
Probing Conceptual Understanding of Large Visual-Language Models. CoRR (2023)
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Trigger Hunting with a Topological Prior for Trojan Detection. ICLR (2022)
Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran
Unpacking Large Language Models with Conceptual Consistency. CoRR (2022)
Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas
Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. CoRR (2021)
Pritish Sahu, Michael Cogswell, Ajay Divakaran, Sara Rutherford-Quach
Comprehension Based Question Answering using Bloom's Taxonomy. RepL4NLP@ACL-IJCNLP (2021)
Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jürgen P. Schulze, Yi Yao, Giedrius T. Burachas
Improving Users' Mental Model with Attention-directed Counterfactual Edits. CoRR (2021)
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Trigger Hunting with a Topological Prior for Trojan Detection. CoRR (2021)
Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran
Comprehension Based Question Answering using Bloom's Taxonomy. CoRR (2021)
Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. NeurIPS (2020)
Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. CoRR (2020)
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. Int. J. Comput. Vis. 128 (2) (2020)
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
Emergence of Compositional Language with Deep Generational Transmission. CoRR (2019)
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
Diverse Beam Search for Improved Description of Complex Scenes. AAAI (2018)
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. ICCV (2017)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. NIPS (2016)
Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra
Reducing Overfitting in Deep Networks by Decorrelating Representations. ICLR (Poster) (2016)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, Viresh Ranjan, David J. Crandall, Dhruv Batra
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles. CoRR (2016)
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
Grad-CAM: Why did you say that? CoRR (2016)
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models. CoRR (2016)
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. CoRR (2016)
Stefan Lee, Senthil Purushwalkam, Michael Cogswell, David J. Crandall, Dhruv Batra
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks. CoRR (2015)
Michael Cogswell, Xiao Lin, Senthil Purushwalkam, Dhruv Batra
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation. CoRR (2014)
Stephen H. Edwards, Zalia Shams, Michael Cogswell, Robert C. Senkbeil
Running students' software tests against each others' code: new life for an old "gimmick". SIGCSE (2012)
Michael Cogswell, Shazia Mardhani, Kevin Melocco, Hina Arora
A Structured Graphical Tool for Analyzing Boundary Scan Violations. ITC (2002)
Michael Cogswell, Don Pearl, James Sage, Alan Troidl
An Automatic Validation Methodology for Logic BIST in High Performance VLSI Design. ICCD (2000)
Michael Cogswell, Don Pearl, James Sage, Alan Troidl
Test structure verification of logical BIST: problems and solutions. ITC (2000)
M. Armstead, Michael Cogswell, S. Halverson, T. Musta
PowerPC Visual Simulator: Peeking Under the Hood of the PowerPC Engine. ICCD (1994)