Anshul Shah

Orcid: 0000-0002-7545-5929

Affiliations:
  • Johns Hopkins University, Baltimore, MD, USA
  • UMD, College Park, MD, USA (former)
  • IIT Madras, India (former)


According to our database1, Anshul Shah authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Working with Large Code Bases: A Cognitive Apprenticeship Approach to Teaching Software Engineering.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Review of Cognitive Apprenticeship Methods in Computing Education Research.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation.
CoRR, 2023

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics.
CoRR, 2023

Dual Prompt Tuning for Domain-Aware Federated Learning.
CoRR, 2023

STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos.
CoRR, 2023

Multi-View Action Recognition using Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Understanding and Measuring Incremental Development in CS1.
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.
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.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

An Empirical Evaluation of Live Coding in CS1.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Improving Students' Programming Processes using Cognitive Apprenticeship Methods.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Object-aware Cropping for Self-Supervised Learning.
Trans. Mach. Learn. Res., 2022

DiffAlign : Few-shot learning using diffusion based synthesis and alignment.
CoRR, 2022

Unfolding a blurred image.
CoRR, 2022

Pose and Joint-Aware Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FeLMi : Few shot Learning with hard Mixup.
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.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Max-Margin Contrastive Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Object-Aware Cropping for Self-Supervised Learning.
CoRR, 2021

The CS1 Reviewer App: Choose Your Own Adventure or Choose for Me!
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.
CoRR, 2020

2019
Bringing Alive Blurred Moments.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learning Based Single Image Blur Detection and Segmentation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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