Surgan Jandial

32 papers A* 4A 4Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Do GUI Grounders Truly Understand UI Elements?
EACL (Findings)
Surgan Jandial, Yinheng Li, Justin Wagle, Kazuhito Koishida
2025 — conf
On the Fine-Grained Planning Abilities of VLM Web Agents.
EMNLP (Findings)
Surgan Jandial, Yinong Oliver Wang, Andrea Bajcsy, Fernando De la Torre
2025 A conf
REEDIT: Multimodal Exemplar-Based Image Editing.
WACV
Ashutosh Srivastava, Tarun Ram Menta, Abhinav Java, Avadhoot Jadhav, Silky Singh, Surgan Jandial, Balaji Krishnamurthy
2025 J jnl
Towards Efficient Exemplar Based Image Editing with Multimodal VLMs.
CoRR
Avadhoot Jadhav, Ashutosh Srivastava, Abhinav Java, Silky Singh, Tarun Ram Menta, Surgan Jandial, Balaji Krishnamurthy
2024 A* conf
"Thinking" Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models.
EMNLP
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka
2024 — conf
Active Transferability Estimation.
CVPR Workshops
Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal
2024 A* conf
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation.
AAAI
Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia
2024 A* conf
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract).
AAAI
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka
2024 J jnl
Introducing v0.5 of the AI Safety Benchmark from MLCommons.
CoRR
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
2024 J jnl
LEAST: "Local" text-conditioned image style transfer.
CoRR
Silky Singh, Surgan Jandial, Simra Shahid, Abhinav Java
2024 J jnl
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models.
CoRR
Ashutosh Srivastava, Tarun Ram Menta, Abhinav Java, Avadhoot Jadhav, Silky Singh, Surgan Jandial, Balaji Krishnamurthy
2024 J jnl
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models.
CoRR
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka
2023 J jnl
All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation.
CoRR
Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia
2023 — conf
Gatha: Relational Loss for enhancing text-based style transfer.
CVPR Workshops
Surgan Jandial, Shripad V. Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy
2023 A conf
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.
WACV
Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy
2023 — conf
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.
COMAD/CODS
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2023 J jnl
Towards Estimating Transferability using Hard Subsets.
CoRR
Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar
2022 — conf
Distilling the Undistillable: Learning from a Nasty Teacher.
ECCV (13)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2022 J jnl
Distilling the Undistillable: Learning from a Nasty Teacher.
CoRR
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2022 J jnl
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models.
CoRR
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2022 J jnl
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.
CoRR
Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy
2022 A conf
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval.
WACV
Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
2021 — conf
Leveraging Style and Content Features for Text Conditioned Image Retrieval.
CVPR Workshops
Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
2020 A* conf
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.
KDD
Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
2020 J jnl
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.
CoRR
Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
2020 A conf
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.
WACV
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
2020 J jnl
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.
CoRR
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
2020 J jnl
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback.
CoRR
Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy
2019 J jnl
AdvGAN++ : Harnessing latent layers for adversary generation.
CoRR
Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian
2019 — conf
AdvGAN++: Harnessing Latent Layers for Adversary Generation.
ICCV Workshops
Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian
2019 — conf
Powering Virtual Try-On via Auxiliary Human Segmentation Learning.
ICCV Workshops
Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy
2019 — conf
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework.
ICCV Workshops
Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy