| 2026 | AAAI | Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning. | Ankita Raj, Chetan Arora |
| 2026 | ACL | microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification. | Sathira Silva, Eman Ali, Chetan Arora, Muhammad Haris Khan |
| 2026 | ACL | LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues. | Fanyu Wang, Xiaoxi Kang, Paul Burgess, Aashish Srivastava, Chetan Arora, Adnan Trakic, Lay-Ki Soon, Md Khalid Hossain, Lizhen Qu |
| 2026 | CHI | Auto-Generating Personas from User Reviews in VR App Stores. | Yi Wang, Kexin Cheng, Xiao Liu, Chetan Arora, John C. Grundy, Thuong N. Hoang, Henry Been-Lirn Duh |
| 2026 | WACV | Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score. | Eman Ali, Sathira Silva, Chetan Arora, Muhammad Haris Khan |
| 2026 | WACV | Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency. | Nikhil Reddy, Chetan Arora, Mahsa Baktashmotlagh |
| 2026 | VR | VRARE: Using Virtual Reality to Understand Accessibility Requirements of Color Blindness and Weakness. | Yi Wang, Ben Cheng, Xiao Liu, Chetan Arora, John C. Grundy, Thuong N. Hoang |
| 2026 | VR | Discussing Your Needs in VR: A Novel Approach Through Persona-Based Stakeholder Role-Playing. | Yi Wang, Zhengxin Zhang, Xiao Liu, Chetan Arora, John C. Grundy, Thuong N. Hoang |
| 2025 | APSEC | Edge4RE: A Novel Edge-Cloud Collaborative Framework for Privacy-Preserving Automated Requirements Documentation. | Ben Cheng, Yi Wang, Oscar Wu, Thuong N. Hoang, Xiao Liu, Chetan Arora |
| 2025 | CHI | Understanding VR Accessibility Practices of VR Professionals. | Yi Wang, Xiao Liu, Chetan Arora, John Grundy, Thuong Hoang |
| 2025 | ICCV | PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning. | Prafful Kumar Khoba, Zijian Wang, Chetan Arora, Mahsa Baktashmotlagh |
| 2025 | ICSE | On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability. | Andreas Vogelsang, Alexander Korn, Giovanna Broccia, Alessio Ferrari, Jannik Fischbach, Chetan Arora |
| 2025 | ISMAR | How Long Does It Take to Alleviate Discomfort? A Preliminary Study on Reducing Cybersickness in Novice Users. | Zhengxin Zhang, Shufang Qian, Yi Wang, Xiao Liu, Chetan Arora, Thuong N. Hoang, Jingjing Zhang, Henry Been-Lirn Duh |
| 2025 | MICCAI | Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification. | Chetan Madan, Aarjav Satia, Soumen Basu, Pankaj Gupta, Usha Dutta, Chetan Arora |
| 2025 | RE | RAG to RichEs: Bridging RE Automation Pains with RAG Gains: Keynote Abstract. | Chetan Arora |
| 2025 | RE | From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry. | Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn, Aldeida Aleti, Shaun Kenyon |
| 2025 | RE | Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap. | Kaicheng Huang, Fanyu Wang, Yutan Huang, Chetan Arora |
| 2025 | WACV | Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation. | Prafful Kumar Khoba, Zijian Wang, Chetan Arora, Mahsa Baktashmotlagh |
| 2025 | WACV | LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Images. | Chetan Madan, Mayuna Gupta, Soumen Basu, Pankaj Gupta, Chetan Arora |
| 2024 | ACCV | Calibration Transfer via Knowledge Distillation. | Ramya Hebbalaguppe, Mayank Baranwal, Kartik Anand, Chetan Arora |
| 2024 | ACCV | GaitW: Enhancing Gait Recognition in the Wild Using Dynamic Information. | Daksh Thapar, Jayesh Chaudhari, Sunny Manchanda, Aditya Nigam, Chetan Arora |
| 2024 | ADC | Efficient Shortest Path Computation for Electric Vehicles in Time-Dependent Networks. | Faisal Alam, Bojie Shen, Muhammad Aamir Cheema, Chetan Arora |
| 2024 | APSEC | Optimizing LLMs for Code Generation: Which Hyperparameter Settings Yield the Best Results? | Chetan Arora, Ahnaf Ibn Sayeed, Sherlock A. Licorish, Fanyu Wang, Christoph Treude |
| 2024 | BMVC | Examining the Threat Landscape: Foundation Models and Model Stealing. | Ankita Raj, Deepankar Varma, Chetan Arora |
| 2024 | CHI | Auto-Generated Personas: Enhancing User-centered Design Practices among University Students. | Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Chetan Arora, Haichao Liu, Weijia Wang, Thuong Hoang |
| 2024 | CVPR | FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders. | Soumen Basu, Mayuna Gupta, Chetan Madan, Pankaj Gupta, Chetan Arora |
| 2024 | CVPR | ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation. | Suraj Patni, Aradhye Agarwal, Chetan Arora |
| 2024 | CVPR | The Third Monocular Depth Estimation Challenge. | Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder |
| 2024 | ENASE | Unlocking Adaptive User Experience with Generative AI. | Yutan Huang, Tanjila Kanij, Anuradha Madugalla, Shruti Mahajan, Chetan Arora, John Grundy |
| 2024 | IROS | Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach. | Vaishnavi Khindkar, Vineeth Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar |
| 2024 | MICCAI | D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. | Tajamul Ashraf, Krithika Rangarajan, Mohit Gambhir, Richa Gauba, Chetan Arora |
| 2024 | MICCAI | VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios. | Rohan Raju Dhanakshirur, Mrinal Tyagi, Britty Baby, Ashish Suri, Prem Kalra, Chetan Arora |
| 2024 | MICCAI | MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History. | Kshitiz Jain, Aditya Bansal, Krithika Rangarajan, Chetan Arora |
| 2024 | MICCAI | Follow the Radiologist: Clinically Relevant Multi-view Cues for Breast Cancer Detection from Mammograms. | Kshitiz Jain, Krithika Rangarajan, Chetan Arora |
| 2024 | MICCAI | Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks. | Ankita Raj, Harsh Swaika, Deepankar Varma, Chetan Arora |
| 2024 | MODELS | Towards Runtime Monitoring for Responsible Machine Learning using Model-driven Engineering. | Hira Naveed, John Grundy, Chetan Arora, Hourieh Khalajzadeh, Omar Haggag |
| 2024 | RE | AIRE 2024: 11th International Workshop on Artificial Intelligence and Requirements Engineering. | Chetan Arora, Fatma Basak Aydemir, Julian Frattini |
| 2024 | RE | Towards Standards-Compliant Assistive Technology Product Specifications via LLMs. | Chetan Arora, John C. Grundy, Louise Puli, Natasha Layton |
| 2024 | RE | Generating Test Scenarios from NL Requirements Using Retrieval-Augmented LLMs: An Industrial Study. | Chetan Arora, Tomas Herda, Verena Homm |
| 2024 | RE | Model Generation with LLMs: From Requirements to UML Sequence Diagrams. | Alessio Ferrari, Sallam Abualhaija, Chetan Arora |
| 2024 | RE | Requirements Elicitation in Government Projects: A Preliminary Empirical Study. | Anqi Ren, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Kaijia Xu, Xishuo Zhang, Chetan Arora |
| 2024 | WACV | United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos. | Siddhant Bansal, Chetan Arora, C. V. Jawahar |
| 2024 | WACV | FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation. | Sudarshan S. Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, Madhava Krishna |
| 2024 | WACV | Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. | Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora |
| 2024 | WACV | SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs. | Pravin Nagar, K. N. Ajay Shastry, Jayesh Chaudhari, Chetan Arora |
| 2024 | WACV | Domain-Aware Knowledge Distillation for Continual Model Generalization. | Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora |
| 2024 | WACV | Favoring One Among Equals - Not a Good Idea: Many-to-one Matching for Robust Transformer based Pedestrian Detection. | K. N. Ajay Shastry, K. Ravi Sri Teja, Aditya Nigam, Chetan Arora |
| 2024 | REFSQ | Preface: 7th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE'24). | Sallam Abualhaija, Chetan Arora, Davide Dell'Anna, Alessio Ferrari, Sepideh Ghanavati |
| 2023 | ENASE | Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study. | Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, John Grundy, Muneera Bano |
| 2023 | ENASE | Requirements Elicitation in the Age of AI: A Tool's Multi-system Journey. | Khlood Ahmad, Chetan Arora, Mohamed Abdelrazek, John Grundy, Rajesh Vasa |
| 2023 | ENASE | Extracting Queryable Knowledge Graphs from User Stories: An Empirical Evaluation. | Ayodeji Ladeinde, Chetan Arora, Hourieh Khalajzadeh, Tanjila Kanij, John Grundy |
| 2023 | ICDAR | UTRNet: High-Resolution Urdu Text Recognition in Printed Documents. | Abdur Rahman, Arjun Ghosh, Chetan Arora |
| 2023 | ICIP | From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills. | Rohan Raju Dhanakshirur, Varidh Katiyar, Ravi Sharma, Ashish Suri, Prem Kumar Kalra, Chetan Arora |
| 2023 | ICIP | Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. | K. N. Ajay Shastry, Jayesh Chaudhari, Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2023 | ICSE | Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report. | Chetan Arora, Laura Tubino, Andrew Cain, Kevin Lee, Vasudha Malhotra |
| 2023 | ICSE | AI-based Question Answering Assistance for Analyzing Natural-language Requirements. | Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh |
| 2023 | ICSE | Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources. | Niroshinie Fernando, Chetan Arora, Seng W. Loke, Lubna Alam, Stephen La Macchia, Helen Graesser |
| 2023 | MICCAI | Gall Bladder Cancer Detection from US Images with only Image Level Labels. | Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, Chetan Arora |
| 2023 | MICCAI | Learnable Query Initialization for Surgical Instrument Instance Segmentation. | Rohan Raju Dhanakshirur, K. N. Ajay Shastry, Kaustubh Borgavi, Ashish Suri, Prem Kumar Kalra, Chetan Arora |
| 2023 | MICCAI | How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? | Mayank Gupta, Soumen Basu, Chetan Arora |
| 2023 | RE | Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach. | Ben Cheng, Chetan Arora, Xiao Liu, Thuong Hoang, Yi Wang, John C. Grundy |
| 2023 | RE | Preface of RESET 2023: 2nd International Workshop on Requirement Engineering for Software Startups and Emerging Technologies. | Anh Nguyen-Duc, Chetan Arora, Pekka Abrahamsson |
| 2023 | RE | PersonaGen: A Tool for Generating Personas from User Feedback. | Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora |
| 2023 | WACV | Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention. | Ashutosh Agarwal, Chetan Arora |
| 2023 | WACV | Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift. | Sharat Agarwal, Saket Anand, Chetan Arora |
| 2023 | WACV | From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. | Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora |
| 2022 | CVPR | Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning. | Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora |
| 2022 | CVPR | A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. | Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora |
| 2022 | CVPR | Merry Go Round: Rotate a Frame and Fool a DNN. | Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2022 | ECCV | My View is the Best View: Procedure Learning from Egocentric Videos. | Siddhant Bansal, Chetan Arora, C. V. Jawahar |
| 2022 | ECCV | Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions. | Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora |
| 2022 | ICIP | Depthformer: Multiscale Vision Transformer for Monocular Depth Estimation with Global Local Information Fusion. | Ashutosh Agarwal, Chetan Arora |
| 2022 | ICIP | Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. | Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Ashish Suri, Subhashis Banerjee, Chetan Arora |
| 2022 | IROS | New Objects on the Road? No Problem, We'll Learn Them Too. | Deepak Kumar Singh, Shyam Nandan Rai, K. J. Joseph, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar |
| 2022 | ICSE | Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study. | Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh |
| 2022 | ISMAR | VR4HcRE: Virtual Reality Platform for Human-centric Requirements Elicitation. | Yi Wang, Xiao Liu, Ben Cheng, Chetan Arora, Thuong N. Hoang |
| 2022 | MDM | Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment. | Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Ali Hassani, Imran Razzak, Kevin Lee, Chetan Arora, Arkady B. Zaslavsky |
| 2022 | MICCAI | Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining. | Soumen Basu, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora |
| 2022 | RE | Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study. | Sallam Abualhaija, Chetan Arora, Amin Sleimi, Lionel C. Briand |
| 2022 | WACV | Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. | Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora |
| 2022 | WACV | Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection. | Ashutosh Agarwal, Anay Majee, Anbumani Subramanian, Chetan Arora |
| 2022 | WACV | Multi-Domain Incremental Learning for Semantic Segmentation. | Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar |
| 2022 | WACV | To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. | Vaishnavi Khindkar, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, Rohit Saluja, C. V. Jawahar |
| 2022 | WACV | FLUID: Few-Shot Self-Supervised Image Deraining. | Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar |
| 2021 | CCGRID | Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering. | Ben Cheng, Owen Wang, Di Shao, Chetan Arora, Thuong N. Hoang, Xiao Liu |
| 2021 | ICCV | Anonymizing Egocentric Videos. | Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2021 | ICIP | Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks. | Ankita Raj, Ambar Pal, Chetan Arora |
| 2021 | ICSE | Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements. | Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand |
| 2021 | ICSE | MAANA: An Automated Tool for DoMAin-Specific HANdling of Ambiguity. | Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand |
| 2021 | MICCAI | Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions During Clinical Evaluation of Medical Images. | Bhavani Sambaturu, Ashutosh Gupta, C. V. Jawahar, Chetan Arora |
| 2021 | RE | What's up with Requirements Engineering for Artificial Intelligence Systems? | Khlood Ahmad, Muneera Bano, Mohamed Abdelrazek, Chetan Arora, John C. Grundy |
| 2021 | RE | The Rise and Fall of COVID-19 Contact-Tracing Apps: when NFRs Collide with Pandemic. | Muneera Bano, Chetan Arora, Didar Zowghi, Alessio Ferrari |
| 2021 | RE | Preface of the Workshop Organizers. | Anh Nguyen-Duc, Varun Gupta, Chetan Arora, Pekka Abrahamsson, Jan Bosch |
| 2021 | RE | Machine Learning in Requirements Engineering: A Mapping Study. | Kareshna Zamani, Didar Zowghi, Chetan Arora |
| 2020 | ECCV | Contextual Diversity for Active Learning. | Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora |
| 2020 | ECCV | An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100. | Ishant Shanu, Siddhant Bharti, Chetan Arora, S. N. Maheshwari |
| 2020 | ECCV | Is Sharing of Egocentric Video Giving Away Your Biometric Signature? | Daksh Thapar, Chetan Arora, Aditya Nigam |
| 2020 | ICSE | Dynamic adaptation of software-defined networks for IoT systems: a search-based approach. | Seung Yeob Shin, Shiva Nejati, Mehrdad Sabetzadeh, Lionel C. Briand, Chetan Arora, Frank Zimmer |
| 2019 | DSD | Multi-sensor Energy Efficient Obstacle Detection. | Anupam Sobti, M. Balakrishnan, Chetan Arora |
| 2019 | RE | A Machine Learning-Based Approach for Demarcating Requirements in Textual Specifications. | Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Eduardo Vaz |
| 2019 | WACV | EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. | Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee |
| 2019 | VLSID | MAVI: Mobility Assistant for Visually Impaired with Optional Use of Local and Cloud Resources. | Rajesh Kedia, Anupam Sobti, Mukund Rungta, Sarvesh Chandoliya, Akhil Soni, Anil Kumar Meena, Chrystle Myrna Lobo, Richa Verma, M. Balakrishnan, Chetan Arora |
| 2018 | CVPR | Inference in Higher Order MRF-MAP Problems With Small and Large Cliques. | Ishant Shanu, Chetan Arora, S. N. Maheshwari |
| 2018 | ICIP | Exploiting Texture Cues for Clothing Parsing in Fashion Images. | Tarasha Khurana, Kushagra Mahajan, Chetan Arora, Atul Rai |
| 2018 | ICIP | U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. | Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta |
| 2018 | ICIP | Pose Aware Fine-Grained Visual Classification Using Pose Experts. | Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, Atul Rai |
| 2018 | ICIP | Making Deep Neural Network Fooling Practical. | Ambar Pal, Chetan Arora |
| 2018 | ICIP | Diversity in Fashion Recommendation Using Semantic Parsing. | Sagar Verma, Sukhad Anand, Chetan Arora, Atul Rai |
| 2018 | ICIP | Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. | Sagar Verma, Pravin Nagar, Divam Gupta, Chetan Arora |
| 2018 | WACV | Stabilizing First Person 360 Degree Videos. | Chetan Arora, Vivek Kwatra |
| 2018 | WACV | Learning Higher Order Potentials for MRFs. | Dinesh Khandelwal, Parag Singla, Chetan Arora |
| 2018 | WACV | A Joint 3D-2D Based Method for Free Space Detection on Roads. | Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora |
| 2018 | WACV | Object Detection in Real-Time Systems: Going Beyond Precision. | Anupam Sobti, Chetan Arora, M. Balakrishnan |
| 2017 | ICIP | Deep CNN with color lines model for unmarked road segmentation. | Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee |
| 2017 | IJCAI | Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions. | Bharat Lal Bhatnagar, Suriya Singh, Chetan Arora, C. V. Jawahar |
| 2017 | WACV | Computing Egomotion with Local Loop Closures for Egocentric Videos. | Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora |
| 2017 | VLSID | MAVI: An Embedded Device to Assist Mobility of Visually Impaired. | Rajesh Kedia, K. K. Yoosuf, Pappireddy Dedeepya, Munib Fazal, Chetan Arora, M. Balakrishnan |
| 2016 | CVPR | Min Norm Point Algorithm for Higher Order MRF-MAP Inference. | Ishant Shanu, Chetan Arora, Parag Singla |
| 2016 | CVPR | First Person Action Recognition Using Deep Learned Descriptors. | Suriya Singh, Chetan Arora, C. V. Jawahar |
| 2016 | MODELS | Extracting domain models from natural-language requirements: approach and industrial evaluation. | Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Frank Zimmer |
| 2016 | WACV | Compact CNN for indexing egocentric videos. | Yair Poleg, Ariel Ephrat, Shmuel Peleg, Chetan Arora |
| 2015 | CVPR | EgoSampling: Fast-forward and stereo for egocentric videos. | Yair Poleg, Tavi Halperin, Chetan Arora, Shmuel Peleg |
| 2015 | RE | Change impact analysis for Natural Language requirements: An NLP approach. | Chetan Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel C. Briand, Frank Zimmer |
| 2014 | ACCV | Head Motion Signatures from Egocentric Videos. | Yair Poleg, Chetan Arora, Shmuel Peleg |
| 2014 | CVPR | Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. | Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari |
| 2014 | CVPR | Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems. | Chetan Arora, S. N. Maheshwari |
| 2014 | CVPR | Temporal Segmentation of Egocentric Videos. | Yair Poleg, Chetan Arora, Shmuel Peleg |
| 2014 | ESEM | Improving requirements glossary construction via clustering: approach and industrial case studies. | Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Frank Zimmer |
| 2014 | ICIP | Optical flow for non Lambertian surfaces by cancelling illuminant chromaticity. | Chetan Arora, Michael Werman |
| 2014 | RE | Requirement boilerplates: Transition from manually-enforced to automatically-verifiable natural language patterns. | Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Frank Zimmer |
| 2013 | AVSS | Efficient representation of distributions for background subtraction. | Yedid Hoshen, Chetan Arora, Yair Poleg, Shmuel Peleg |
| 2013 | ESEM | Automatic Checking of Conformance to Requirement Boilerplates via Text Chunking: An Industrial Case Study. | Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Frank Zimmer, Raul Gnaga |
| 2013 | ICCV | Higher Order Matching for Consistent Multiple Target Tracking. | Chetan Arora, Amir Globerson |
| 2012 | ECCV | Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. | Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari |
| 2010 | ECCV | An Efficient Graph Cut Algorithm for Computer Vision Problems. | Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari |
| 2000 | CVPR | Rectified Mosaicing: Mosaics without the Curl. | Shmuel Peleg, Assaf Zomet, Chetan Arora |