Balaji Krishnamurthy

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 118

Top Venues

Publications

Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy
CABINET: Content Relevance-based Noise Reduction for Table Question Answering. ICLR (2024)
Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. CoRR (2024)
Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation. AAAI (2024)
Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy
CABINET: Content Relevance based Noise Reduction for Table Question Answering. CoRR (2024)
Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar
flame: A Framework for Learning in Agent-based ModEls. AAMAS (2024)
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). AAAI (2024)
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR (2024)
Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri
HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model. ACL (Findings) (2023)
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
VGFlow: Visibility guided Flow Network for Human Reposing. CVPR (2023)
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS (2023)
Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen
Persuasion Strategies in Advertisements. AAAI (2023)
Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
Explaining RL Decisions with Trajectories. ICLR (2023)
Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models. CoRR (2023)
Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
Explaining RL Decisions with Trajectories. CoRR (2023)
Abhinav Java, Shripad Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. WACV (2023)
Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain
Computable Contracts by Extracting Obligation Logic Graphs. ICAIL (2023)
Silky Singh, Shripad Deshmukh, Mausoom Sarkar, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
FODVid: Flow-guided Object Discovery in Videos. CoRR (2023)
Aanisha Bhattacharya, Yaman Kumar Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. CoRR (2023)
Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar
Towards Estimating Transferability using Hard Subsets. CoRR (2023)
Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy
Behavior Optimized Image Generation. CoRR (2023)
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. CoRR (2023)
Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. EMNLP (2023)
H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. CoRR (2023)
Mausoom Sarkar, Nikitha S. R., Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy
Parameter Efficient Local Implicit Image Function Network for Face Segmentation. CoRR (2023)
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
UMFuse: Unified Multi View Fusion for Human Editing applications. ICCV (2023)
Varun Khurana, Yaman Kumar Singla, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy
Synthesizing Human Gaze Feedback for Improved NLP Performance. CoRR (2023)
Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia
All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation. CoRR (2023)
Mausoom Sarkar, Nikitha S. R., Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy
Parameter Efficient Local Implicit Image Function Network for Face Segmentation. CVPR (2023)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. AAMAS (2023)
Surgan Jandial, Shripad Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy
Gatha: Relational Loss for enhancing text-based style transfer. CVPR Workshops (2023)
Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy
Long-Term Memorability On Advertisements. CoRR (2023)
Silky Singh, Shripad Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training. CoRR (2023)
H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. EMNLP (Findings) (2023)
Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
SARC: Soft Actor Retrospective Critic. CoRR (2023)
Silky Singh, Shripad V. Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training. BMVC (2023)
Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy
Synthesizing Human Gaze Feedback for Improved NLP Performance. EACL (2023)
Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. WACV (2022)
Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR (2022)
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy
LM-CORE: Language Models with Contextually Relevant External Knowledge. CoRR (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. ECCV (13) (2022)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. CoRR (2022)
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
VGFlow: Visibility guided Flow Network for Human Reposing. CoRR (2022)
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
MINIMAL: Mining Models for Universal Adversarial Triggers. AAAI (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. CoRR (2022)
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. CoRR (2022)
S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, M. Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy
SHERLock: Self-Supervised Hierarchical Event Representation Learning. ICPR (2022)
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
Status-quo Policy Gradient in Multi-Agent Reinforcement Learning. AAMAS (2022)
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
UMFuse: Unified Multi View Fusion for Human Editing applications. CoRR (2022)
Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV (2022)
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. NAACL-HLT (2022)
Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. CoRR (2022)
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. CoRR (2022)
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy
LM-CORE: Language Models with Contextually Relevant External Knowledge. NAACL-HLT (Findings) (2022)
Abhinav Java, Shripad Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. CoRR (2022)
Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
Leveraging Style and Content Features for Text Conditioned Image Retrieval. CVPR Workshops (2021)
Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR (2021)
Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
Information-theoretic Evolution of Model Agnostic Global Explanations. CoRR (2021)
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
Status-quo policy gradient in Multi-Agent Reinforcement Learning. CoRR (2021)
Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CoRR (2021)
Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. ACL/IJCNLP (1) (2021)
Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. CoRR (2021)
Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC (2021)
Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. CoRR (2021)
Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CIKM (2021)
Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. CoRR (2021)
Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV (2021)
Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy
What Ails One-Shot Image Segmentation: A Data Perspective. NeurIPS Datasets and Benchmarks (2021)
Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy
Multi-Modal Association based Grouping for Form Structure Extraction. CoRR (2021)
Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. ICCV (2021)
Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy
Form2Seq : A Framework for Higher-Order Form Structure Extraction. CoRR (2021)
Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. ICLR (2020)
Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy
Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation. ECCV (28) (2020)
Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. CoRR (2020)
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV (2020)
Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. KDD (2020)
Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy
Multi-Modal Association based Grouping for Form Structure Extraction. WACV (2020)
Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. ICDM (2020)
Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
ShapeVis: High-dimensional Data Visualization at Scale. CoRR (2020)
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. WACV (2020)
Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Data Instance Prior for Transfer Learning in GANs. CoRR (2020)
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) (2020)
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. CoRR (2020)
Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
ShapeVis: High-dimensional Data Visualization at Scale. WWW (2020)
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. CoRR (2020)
Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. CoRR (2020)
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. IJCAI (2020)
Hrituraj Singh, Milan Aggarwal, Balaji Krishnamurthy
Exploring Neural Models for Parsing Natural Language into First-Order Logic. CoRR (2020)
Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy
Towards a Unified Framework for Visual Compatibility Prediction. WACV (2020)
Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti
Unsupervised Hierarchical Concept Learning. CoRR (2020)
Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. CoRR (2020)
Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy
Form2Seq : A Framework for Higher-Order Form Structure Extraction. EMNLP (1) (2020)
Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. CoRR (2020)
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. CoRR (2020)
Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR (2020)
Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency. CoRR (2019)
Nilay Shrivastava, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy, Sukriti Verma
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation. CoRR (2019)
Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. CoRR (2019)
Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR (2019)
Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI (2019)
Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. CVPR Workshops (2019)

Balaji Krishnamurthy.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Balaji Krishnamurthy