# Chetan Arora

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/chetan-arora/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,758 |
| Field | Advanced Neural Network Applications |
| h-index | 21 |
| i10-index | 43 |
| Last Known Institution | Indian Institute of Technology Delhi |
| OpenAlex ID | https://openalex.org/A5101532736 |
| ORCID iD | 0000-0003-0155-0250 |
| Works | 142 |

## Researcher papers

- [First Person Action Recognition Using Deep Learned Descriptors](https://scholariq.org/papers/first-person-action-recognition-using-deep-learned-descriptors/)
- [Temporal Segmentation of Egocentric Videos](https://scholariq.org/papers/temporal-segmentation-of-egocentric-videos/)
- [Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention](https://scholariq.org/papers/attention-attention-everywhere-monocular-depth-prediction-with-skip-attention/)
- [Trajectory aligned features for first person action recognition](https://scholariq.org/papers/trajectory-aligned-features-for-first-person-action-recognition/)
- [RadFormer: Transformers with global–local attention for interpretable and accurate Gallbladder Cancer detection](https://scholariq.org/papers/radformer-transformers-with-global-local-attention-for-interpretable-and/)
- [Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning](https://scholariq.org/papers/surpassing-the-human-accuracy-detecting-gallbladder-cancer-from-usg-images-with/)
- [Multi-Domain Incremental Learning for Semantic Segmentation](https://scholariq.org/papers/multi-domain-incremental-learning-for-semantic-segmentation/)
- [Depthformer: Multiscale Vision Transformer for Monocular Depth Estimation with Global Local Information Fusion](https://scholariq.org/papers/depthformer-multiscale-vision-transformer-for-monocular-depth-estimation-with/)
- [My View is the Best View: Procedure Learning from Egocentric Videos](https://scholariq.org/papers/my-view-is-the-best-view-procedure-learning-from-egocentric-videos/)
- [A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration](https://scholariq.org/papers/a-stitch-in-time-saves-nine-a-train-time-regularizing-loss-for-improved-neural/)
- [Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation](https://scholariq.org/papers/representation-learning-using-rank-loss-for-robust-neurosurgical-skills/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [Indian Institute of Technology Delhi](https://scholariq.org/institutions/indian-institute-of-technology-delhi/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.