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ORCIDAnshul Shah
Person information
- affiliation: Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): UMD, College Park, MD, USA
- affiliation (former): IIT Madras, India
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2020 – today
- 2025
[c25]Gonzalo Allen-Perez, Luis Millan, Brandon Nghiem, Kevin Wu, Anshul Shah, Adalbert Gerald Soosai Raj:
An Analysis of Students' Testing Processes in CS1. SIGCSE (1) 2025: 46-52- [c24]Anshul Shah, Anya Chernova, Elena Tomson, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj:
Students' Use of GitHub Copilot for Working with Large Code Bases. SIGCSE (1) 2025: 1050-1056 - [c23]Jiaen Yu, Anshul Shah, John Driscoll, Yandong Xiang, Xingyin Xu, Sophia Krause-Levy, Soohyun Nam Liao:
Student Usage of Metacognition-Promoting Tool in a CS2 Course and its Relationship with Performance. SIGCSE (2) 2025: 1671-1672 - 2024
- [c22]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:
Introducing Code Quality at CS1 Level: Examples and Activities. ITiCSE-WGR 2024: 339-377 - [c21]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:
Introducing Code Quality in the CS1 Classroom. ITiCSE (2) 2024 - [c20]Anshul Shah, Fatimah Alhumrani, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj:
A Comparison of Student Behavioral Engagement in Traditional Live Coding and Active Live Coding Lectures. ITiCSE (1) 2024 - [c19]Anshul Shah, Vardhan Agarwal, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj:
In-Person vs Blended Learning: An Examination of Grades, Attendance, Peer Support, Competitiveness, and Belonging. ITiCSE (1) 2024 - [c18]Anshul Shah, Adalbert Gerald Soosai Raj:
A Review of Cognitive Apprenticeship Methods in Computing Education Research. SIGCSE (1) 2024: 1202-1208 - [c17]Anshul Shah, Jerry Yu, Thanh Tong, Adalbert Gerald Soosai Raj:
Working with Large Code Bases: A Cognitive Apprenticeship Approach to Teaching Software Engineering. SIGCSE (1) 2024: 1209-1215 - 2023
- [c16]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR 2023: 18846-18856 - [c15]Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos. ICCV 2023: 10341-10353 - [c14]Mrinal Sharma, Hayden McTavish, Zimo Peng, Anshul Shah, Vardhan Agarwal, Caroline Sih, Emma Hogan, Ismael Villegas Molina, Adalbert Gerald Soosai Raj, Kristen Vaccaro:
Engagement and Anonymity in Online Computer Science Course Forums. ICER (1) 2023: 48-62 - [c13]Anshul Shah:
Improving Students' Programming Processes using Cognitive Apprenticeship Methods. ICER (2) 2023: 102-106 - [c12]Anshul Shah, Emma Hogan, Vardhan Agarwal, John Driscoll, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj:
An Empirical Evaluation of Live Coding in CS1. ICER (1) 2023: 476-494 - [c11]Anshul Shah, Vardhan Agarwal, Michael Granado, John Driscoll, Emma Hogan, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj:
The Impact of a Remote Live-Coding Pedagogy on Student Programming Processes, Grades, and Lecture Questions Asked. ITiCSE (1) 2023: 533-539 - [c10]Anshul Shah, Michael Granado, Mrinal Sharma, John Driscoll, Leo Porter, William G. Griswold, Adalbert Gerald Soosai Raj:
Understanding and Measuring Incremental Development in CS1. SIGCSE (1) 2023: 722-728 - [c9]Ketul Shah, Anshul Shah, Chun Pong Lau, Celso M. de Melo, Rama Chellappa:
Multi-View Action Recognition using Contrastive Learning. WACV 2023: 3370-3380 - [i12]Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos. CoRR abs/2301.00794 (2023) - [i11]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR abs/2304.00387 (2023) - [i10]Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa:
Dual Prompt Tuning for Domain-Aware Federated Learning. CoRR abs/2310.03103 (2023) - [i9]Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa:
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics. CoRR abs/2311.09753 (2023) - [i8]Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng:
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation. CoRR abs/2311.16497 (2023) - 2022
- [j1]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. AAAI 2022: 8220-8230 - [c7]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs:
Learning visual representations for transfer learning by suppressing texture. BMVC 2022: 300 - [c6]Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa:
FeLMi : Few shot Learning with hard Mixup. NeurIPS 2022 - [c5]Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. WACV 2022: 141-151 - [i7]Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan:
Unfolding a blurred image. CoRR abs/2201.12010 (2022) - [i6]Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
DiffAlign : Few-shot learning using diffusion based synthesis and alignment. CoRR abs/2212.05404 (2022) - 2021
- [c4]Anshul Shah, Jonathan Liu, Kristin Stephens-Martinez, Susan H. Rodger:
The CS1 Reviewer App: Choose Your Own Adventure or Choose for Me! ITiCSE (1) 2021: 331-337 - [i5]Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. CoRR abs/2112.00319 (2021) - [i4]Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. CoRR abs/2112.11450 (2021) - 2020
- [i3]Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose And Joint-Aware Action Recognition. CoRR abs/2010.08164 (2020) - [i2]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs:
Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR abs/2011.01901 (2020)
2010 – 2019
- 2019
- [c3]Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa:
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. CVPR Workshops 2019: 239-246 - [c2]Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan:
Bringing Alive Blurred Moments. CVPR 2019: 6830-6839 - 2018
- [c1]Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan:
Learning Based Single Image Blur Detection and Segmentation. ICIP 2018: 2202-2206 - [i1]Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan:
Bringing Alive Blurred Moments! CoRR abs/1804.02913 (2018)
Coauthor Index
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last updated on 2025-02-24 21:33 CET by the dblp team
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