Surgan Jandial

Surgan Jandial

I am a first-year Master's in Robotics (MSR) student at the Carnegie Mellon University (Robotics Institute) .

Previously, I was a Research Associate at MDSR Labs, Adobe where I focused on the key areas of Computer Vision (Generative Models, Knowledge Distillation, Transfer Learning), Vision-Language (Retrieval, Style Transfer, Understanding CLIP space), and Language Models (LLM Bias, Memorization, Efficient Deployment).

Even before that, I earned my Bachelor's in CS from Indian Institute of Technology (IIT), Hyderabad, where I worked with Prof. Vineeth N Balasubramanian on problems related to Robust and Efficient Perception.

Particularly, my prior research studied the themes of:

Resource-Efficiency for widespread access: efficient model training, efficient model selection, efficient model size, data efficiency via synthetic data.

Safety for long-term usage or deployment: model fairness, model security.

Applications for Vision, Vision-Language, and Language.

My current interests are broad into Vision and Language modalities, and am keen to study the upcoming topics with a lens of efficiency, robustness, safety.

Update: Open to Summer 2025 internships for Research/Applied Research/AI-ML roles. If you see a fit, please do reach out!

Email / List of Patents / Preprints / Some personal interests

Google Scholar / Linkedin / Twitter

Conferences

(* denotes equal contribution)

Publications Component

	Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models Surgan Jandial^, Shaz Furniturewala^, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka EMNLP, 2024 (Main) Model Fairness Large Language Models
	All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation Pragyan Banerjee^, Abhinav Java^, Surgan Jandial^, Simra Shahid ^, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia AAAI, 2024 Model Fairness Large Language Models
	Retro-KD: Past States for Regularizing Targets in Teacher-Student Learning Surgan Jandial^, Yash Khasbage^, Arghya Pal, Balaji Krishnamurthy, Vineeth N Balasubramanian CODS-COMAD, 2023 (Oral) Knowledge Distillation Model Compression
	One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text Abhinav Java^, Shripad Deshmukh^, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy WACV, 2023 Applications Computer Vision
	Distilling the Undistillable: Learning from a Nasty Teacher Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy ECCV, 2022 Knowledge Distillation Model Stealing Model Security
	SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval Surgan Jandial^, Pinkesh Badjatiya^, Pranit Chawla^, Ayush Chopra^, Mausoom Sarkar, Balaji Krishnamurthy WACV, 2022 Applications Computer Vision Vision Language Models
	Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks Surgan Jandial^, Ayush Chopra^, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth N Balasubramanian KDD, 2020 Efficient Model Training
	SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On Surgan Jandial^, Ayush Chopra^, Kumar Ayush^, Mayur Hemani, Balaji Krishnamurthy, Abhijeet Halwai WACV, 2020 Also presented at Workshop on AI for Content Creation, CVPR 2020* Media Coverage: Venturebeat / Beebom / WWD Applications Computer Vision
Workshops (* denotes equal contribution)
	Towards Fair Knowledge Distillation using Student Feedback Abhinav Java ^, Surgan Jandial^ , Chirag Agarwal Workshop on Efficient Systems for Foundation Models, ICML 2023 Under review at a Top-Tier ML Conference Model Fairness Knowledge Distillation Vision Language Models
	Gatha: Relational Loss for enhancing text-based style transfer Surgan Jandial, Shripad Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy 6th Workshop on Computer Vision for Fashion, Art, and Design, CVPR 2023 (Oral) Synthetic Data Generation Vision Language Models
	Self-supervised Autoencoder for Correlation-Preserving in Tabular GANs Siddarth Ramesh^, Surgan Jandial^, Gauri Gupta^, Piyush Gupta, Balaji Krishnamurthy Data-centric Machine Learning Research (DMLR) Workshop, ICML 2023* Synthetic Data Generation Tabular Data
	On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models Vedant Singh^, Surgan Jandial ^, Ayush Chopra, Siddarth Ramesh, Balaji Krishnamurthy, Vineeth N Balasubramanian Workshop on AI for Content Creation, CVPR 2022 Synthetic Data Generation
	AdvGAN++: Harnessing latent layers for adversary generation Puneet Mangla^, Surgan Jandial^, Sakshi Varshney^, Vineeth N Balasubramanian Neural Architect Workshop, ICCV 2019* Robustness Computer Vision
	Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for VirtualTry-On Framework Kumar Ayush^, Surgan Jandial^, Ayush Chopra^, Mayur Hemani, Balaji Krishnamurthy Workshop on Human Behaviour Understanding, ICCV 2019* Applications Computer Vision
	Powering Virtual Try-On via Auxiliary Human Segmentation Learning Kumar Ayush^, Surgan Jandial^, Ayush Chopra^, Balaji Krishnamurthy Workshop on Computer Vision for Fashion, Art and Design, ICCV 2019* Applications Computer Vision
Preprints (* denotes equal contribution)
	Leveraging style-based relations for text-conditioned style transfer Surgan Jandial^, Silky Singh^, Simra Shahid^*, Abhinav Java, Shripad Deshmukh Under review at a Top-Tier ML Conference Synthetic Data Generation Style Transfer Vision Language Models
Patents

Issued Cloth Warping Using Multi-Scale Patch Adversarial Loss
Application granted on 06/08/2021. US Patent number 11080817
Issued Accurately Generating Virtual Try-On Images Utilizing a Unified Neural Network Framework
Application granted on 08/03/2021. US Patent number 11030782
Issued Text-Conditioned Image Search with Transformation, Aggregation, and Composition of Visio-Linguistic Features
Application granted on 08/08/2023. US Patent number 11720651
Issued Model Training with Retrospective Loss
Application granted on 10/24/2023. US Patent number 11797823
Filed Text-Conditioned Image Search Based on Dual-Disentangled Feature Composition
Filled at the US Patent Office on 1/28/2021
Filed Regularizing Targets in Model Distillation Utilizing Past State Knowledge of Students
Filled at the US Patent Office on 8/9/2022
Filed Diffusion Model Image Generation
Filled at the US Patent Office on 8/31/2022
Filed Systems and Methods for Data Augmentation
Filled at the US Patent Office on 10/11/2022
Filed Systems and Methods for Machine Learning Transferability
Filled at the US Patent Office on 3/3/2023
Filed Form Structure Similarity Detection
Filled at the US Patent Office on 3/27/2023
Filed Personalized Form Error Correction Propagation
Filled at the US Patent Office on 4/27/2023
Filed Knowledge Distillation Using Contextual Semantic Noise
Filled at the US Patent Office on 2/22/2023
Filed Systems and Methods for Generating Synthetic Tabular Data for Machine Learning and Other Applications
Filled at the US Patent Office on 4/3/2023
Filed One-Shot Document Snippet Search
Filled at the US Patent Office on 6/30/2023
Filed Generating Alternative Examples for Content
Filled at the US Patent Office on 11/3/2023
In-Filing A Novel Method and Apparatus for Text-Guided Style Transfer
Internally approved at Adobe Inc. in June 2023 for filing
In-Filing Mask-CLIPstyler: Localized text-based style transfer in images
Internally approved at Adobe Inc. in July 2024 for filing

Academic Service

Reviewer : WACV 2020, Neurips 2023 Workshops, WACV 2024, CVPR 2024, KDD 2024, WACV 2025.
Program Committee: AAAI 2025. Sub-Reviewer: Neuips 2022, ICCV 2023.
Student Volunteer : ICCV 2019, ICML 2020, KDD 2020, Neurips 2020, ICLR 2020, Recsys 2020.
Teaching Assistant, IIT Hyderabad: CS-2323 (Computer Architecture), CS-2410 (Theory of Computation), CS-2420 (Introduction to Complexity Theory).

this made my life easy.