Anshul Shah

According to our database, Anshul Shah authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Working with Large Code Bases: A Cognitive Apprenticeship Approach to Teaching Software Engineering.

Anshul Shah, Jerry Yu, Thanh Tong, Adalbert Gerald Soosai Raj

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Review of Cognitive Apprenticeship Methods in Computing Education Research.

Anshul Shah, Adalbert Gerald Soosai Raj

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

In-Person vs Blended Learning: An Examination of Grades, Attendance, Peer Support, Competitiveness, and Belonging.

Anshul Shah, Vardhan Agarwal, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

A Comparison of Student Behavioral Engagement in Traditional Live Coding and Active Live Coding Lectures.

Anshul Shah, Fatimah Alhumrani, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Introducing Code Quality in the CS1 Classroom.

Cruz Izu, Claudio Mirolo, Jürgen Börstler, Harold S. Connamacher, Ryan Crosby, Richard Glassey, Georgiana Haldeman, Olli Kiljunen, Amruth N. Kumar, David Liu, Andrew Luxton-Reilly, Stephanos Matsumoto, Eduardo Carneiro de Oliveira, Seán Russell, Anshul Shah

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation.

Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng

CoRR, 2023

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics.

Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa

CoRR, 2023

Dual Prompt Tuning for Domain-Aware Federated Learning.

Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa

CoRR, 2023

STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos.

Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa

CoRR, 2023

Multi-View Action Recognition using Contrastive Learning.

Ketul Shah, Anshul Shah, Chun Pong Lau, Celso M. de Melo, Rama Chellappa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Understanding and Measuring Incremental Development in CS1.

Anshul Shah, Michael Granado, Mrinal Sharma, John Driscoll, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

The Impact of a Remote Live-Coding Pedagogy on Student Programming Processes, Grades, and Lecture Questions Asked.

Anshul Shah, Vardhan Agarwal, Michael Granado, John Driscoll, Emma Hogan, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Engagement and Anonymity in Online Computer Science Course Forums.

Mrinal Sharma, Hayden McTavish, Zimo Peng, Anshul Shah, Vardhan Agarwal, Caroline Sih, Emma Hogan, Ismael Villegas Molina, Adalbert Gerald Soosai Raj, Kristen Vaccaro

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

An Empirical Evaluation of Live Coding in CS1.

Anshul Shah, Emma Hogan, Vardhan Agarwal, John Driscoll, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Improving Students' Programming Processes using Cognitive Apprenticeship Methods.

Anshul Shah

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos.

Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions.

Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Object-aware Cropping for Self-Supervised Learning.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

Trans. Mach. Learn. Res., 2022

DiffAlign : Few-shot learning using diffusion based synthesis and alignment.

Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa

CoRR, 2022

Unfolding a blurred image.

Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan

CoRR, 2022

Pose and Joint-Aware Action Recognition.

Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FeLMi : Few shot Learning with hard Mixup.

Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning visual representations for transfer learning by suppressing texture.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Max-Margin Contrastive Learning.

Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Object-Aware Cropping for Self-Supervised Learning.

Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

CoRR, 2021

The CS1 Reviewer App: Choose Your Own Adventure or Choose for Me!

Anshul Shah, Jonathan Liu, Kristin Stephens-Martinez, Susan H. Rodger

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

2020

Learning Visual Representations for Transfer Learning by Suppressing Texture.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs

CoRR, 2020

2019

Bringing Alive Blurred Moments.

Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding.

Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Learning Based Single Image Blur Detection and Segmentation.

Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018