Chetan Arora
46 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π Interdisciplinary Bridge π Academic Marathon (13) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (73)
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Taxonomy Completionist
(73)
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Keyword Pioneer
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Topic Evolution
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Keyword Champion
(2)
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Prolific Year
(13)
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Conference Pioneer
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The Questioner
(2)
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Keyword Collector
(170)
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(7)
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Century Club
(44)
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Trend Setter
Conferences
WACV (17)
CVPR (12)
MICCAI (6)
ECCV (5)
ICCV (3)
AAAI (1)
ACL (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
object detection
(4)
semantic segmentation
(4)
self-supervised learning
(4)
egocentric video
(4)
energy minimization
(4)
submodular optimization
(3)
active learning
(3)
markov random field
(3)
graph cut
(3)
egocentric vision
(3)
convolutional neural network
(3)
domain adaptation
(3)
knowledge distillation
(2)
combinatorial optimization
(2)
zero-shot learning
(2)
monocular depth estimation
(2)
catastrophic forgetting
(2)
continual learning
(2)
unsupervised learning
(2)
action recognition
(2)
Papers
Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score
WACV 2026
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
ACL 2026
Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning
AAAI 2026
Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency
WACV 2026
LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Images
WACV 2025
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
MICCAI 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
WACV 2025
PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning
ICCV 2025
Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms
MICCAI 2024
VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios
MICCAI 2024
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
CVPR 2024
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
CVPR 2024
Favoring One Among Equals - Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection
WACV 2024
SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs
WACV 2024
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning From Videos
WACV 2024
Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
MICCAI 2024
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
MICCAI 2024
MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History
MICCAI 2024
Towards Domain-Aware Knowledge Distillation for Continual Model Generalization
WACV 2024
FinderNet: A Data Augmentation Free Canonicalization Aided Loop Detection and Closure Technique for Point Clouds in 6-DOF Separation.
WACV 2024
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection
WACV 2024
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
WACV 2023
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
WACV 2023
Attention Attention Everywhere: Monocular Depth Prediction With Skip Attention
WACV 2023
FLUID: Few-Shot Self-Supervised Image Deraining
WACV 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
CVPR 2022
Merry Go Round: Rotate a Frame and Fool a DNN
CVPR 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning
CVPR 2022
My View Is the Best View: Procedure Learning from Egocentric Videos
ECCV 2022
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions
ECCV 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
WACV 2022
Multi-Domain Incremental Learning for Semantic Segmentation
WACV 2022
To Miss-Attend Is to Misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors
WACV 2022
Anonymizing Egocentric Videos
ICCV 2021
Contextual Diversity for Active Learning
ECCV 2020
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100
ECCV 2020
Is Sharing of Egocentric Video Giving Away Your Biometric Signature?
ECCV 2020
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques
CVPR 2018
Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions
IJCAI 2017
Min Norm Point Algorithm for Higher Order MRF-MAP Inference
CVPR 2016
First Person Action Recognition Using Deep Learned Descriptors
CVPR 2016
EgoSampling: Fast-Forward and Stereo for Egocentric Videos
CVPR 2015
Multi Label Generic Cuts: Optimal Inference in Multi Label Multi Clique MRF-MAP Problems
CVPR 2014
Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems
CVPR 2014
Temporal Segmentation of Egocentric Videos
CVPR 2014
Higher Order Matching for Consistent Multiple Target Tracking
ICCV 2013