Balasubramanian, Vineeth N.

88 publications

CVPR 2025 A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George, Vineeth N Balasubramanian

ICLRW 2025 Can Memory Networks Play a Role in Task-Specific Modulation of Neural Circuits? Susmit Agrawal, Krishn Vishwas Kher, Madhumitha V, Vineeth N. Balasubramanian

ICLR 2025 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

TMLR 2025 Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

TMLR 2025 HARE: Human-in-the-Loop Algorithmic Recourse Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, Vineeth N. Balasubramanian

NeurIPS 2025 Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal, Swarnim Maheshwari, Vineeth N. Balasubramanian

CVPRW 2025 Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga Bhat Dittakavi, Swarnim Maheshwari, Vineeth N. Balasubramanian

CVPR 2025 Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance Sanchayan Santra, Vishal Chudasama, Pankaj Wasnik, Vineeth N Balasubramanian

TMLR 2025 Semantic Alignment for Prompt-Tuning in Vision Language Models Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

ICML 2025 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma

ICLRW 2025 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma

AAAI 2025 Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian

CVPRW 2024 Active Transferability Estimation Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, K. B. Vimal, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal

WACV 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction Bhat Dittakavi, Bharathi Callepalli, Aleti Vardhan, Sai Vikas Desai, Vineeth N. Balasubramanian

NeurIPSW 2024 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

NeurIPS 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts Abbavaram Gowtham Reddy, Vineeth N Balasubramanian

ICMLW 2024 Enhancing Concept-Based Learning with Logic Deepika Vemuri, Gautham Bellamkonda, Vineeth N. Balasubramanian

NeurIPSW 2024 Fine-Grained Visual Recognition in the Age of Multimodal LLMs Hari Chandana Kuchibhotla, Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

ECCV 2024 Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N Balasubramanian

AAAI 2024 NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

WACV 2024 Open-Set Object Detection by Aligning Known Class Representations Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N. Balasubramanian

ECCV 2024 POET: Prompt Offset Tuning for Continual Human Action Adaptation Prachi Garg, K J Joseph, Vineeth N Balasubramanian, Necati Cihan Camgoz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando de la Torre

AAAI 2024 Rethinking Robustness of Model Attributions Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian

ICMLW 2024 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

NeurIPSW 2024 Teaching Transformers Causal Reasoning Through Axiomatic Training Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

AAAI 2024 Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar

WACV 2023 ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian

ICCV 2023 Building a Winning Team: Selecting Source Model Ensembles Using a Submodular Transferability Estimation Approach K B Vimal, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N Balasubramanian

ICCV 2023 Data-Free Class-Incremental Hand Gesture Recognition Shubhra Aich, Jesus Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K J Joseph, Alvaro Fernandez Garcia, Vineeth N Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgoz, Shugao Ma, Fernando De la Torre

ICLRW 2023 Do Models See Corruption as We See? an Item Response Theory Based Study in Computer Vision Charchit Sharma, Ayan Kumar Pahari, Deepak Vijaykeerthy, Vineeth N. Balasubramanian

ICLRW 2023 Feature-Interpretable Real Concept Drift Detection Pranoy Panda, Vineeth N. Balasubramanian, Gaurav Sinha

WACV 2023 Learning Style Subspaces for Controllable Unpaired Domain Translation Gaurav Bhatt, Vineeth N. Balasubramanian

NeurIPS 2023 MADG: Margin-Based Adversarial Learning for Domain Generalization Aveen Dayal, K B Vimal, Linga Reddy Cenkeramaddi, C Mohan, Abhinav Kumar, Vineeth N Balasubramanian

NeurIPS 2023 Mitigating the Effect of Incidental Correlations on Part-Based Learning Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian

AISTATS 2022 Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya, Tarun Ram Menta, Sakethanath N. Jagarlapudi, Vineeth N. Balasubramanian

CVPR 2022 A Framework for Learning Ante-Hoc Explainable Models via Concepts Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian

WACV 2022 COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains Puneet Mangla, Shivam Chandhok, Vineeth N Balasubramanian, Fahad Shahbaz Khan

ECCV 2022 Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer Arjun Ashok, K J Joseph, Vineeth N Balasubramanian

NeurIPSW 2022 Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian

WACV 2022 Data InStance Prior (DISP) in Generative Adversarial Networks Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

ECCV 2022 Distilling the Undistillable: Learning from a Nasty Teacher Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy

CVPR 2022 Energy-Based Latent Aligner for Incremental Learning K J Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N Balasubramanian

WACV 2022 Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash, Vineeth N Balasubramanian, Amit Sharma

WACV 2022 FLUID: Few-Shot Self-Supervised Image Deraining Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N Balasubramanian, Anbumani Subramanian, C.V. Jawahar

AAAI 2022 Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian

WACV 2022 Leveraging Test-Time Consensus Prediction for Robustness Against Unseen Noise Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian

ICML 2022 Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian, Amit Sharma

WACV 2022 Multi-Domain Incremental Learning for Semantic Segmentation Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, C.V. Jawahar

ECCV 2022 Novel Class Discovery Without Forgetting K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

AAAI 2022 On Causally Disentangled Representations Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian

CVPRW 2022 Pose Tutor: An Explainable System for Pose Correction in the Wild Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma

CVPR 2022 Proto2Proto: Can You Recognize the Car, the Way I Do? Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N Balasubramanian

CVPRW 2022 Spacing Loss for Discovering Novel Categories K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian

WACV 2022 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

CVPR 2022 Unseen Classes at a Later Time? No Problem Hari Chandana Kuchibhotla, Sumitra S Malagi, Shivam Chandhok, Vineeth N Balasubramanian

AAAI 2021 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and Its Applications to Regularization Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian

NeurIPS 2021 Adversarial Robustness Without Adversarial Training: A Teacher-Guided Curriculum Learning Approach Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N Balasubramanian

ACML 2021 Asian Conference on Machine Learning: Preface Vineeth N. Balasubramanian, Ivor Tsang

CVPRW 2021 Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

NeurIPS 2021 Can We Have It All? on the Trade-Off Between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N Balasubramanian

AAAI 2021 Enhanced Regularizers for Attributional Robustness Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian

CVPRW 2021 Instance-Wise Causal Feature Selection for Model Interpretation Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

ICCVW 2021 On Adversarial Robustness: A Neural Architecture Search Perspective Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian

CVPR 2021 Towards Open World Object Detection K J Joseph, Salman Khan, Fahad Shahbaz Khan, Vineeth N Balasubramanian

WACV 2021 Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-Shot Learning Shivam Chandhok, Vineeth N Balasubramanian

WACV 2020 A Little Fog for a Large Turn Harshitha Machiraju, Vineeth N Balasubramanian

WACV 2020 A Multi-Space Approach to Zero-Shot Object Detection Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S, Vineeth N Balasubramanian, C.V. Jawahar

ECCV 2020 Attributional Robustness Training Using Input-Gradient Spatial Alignment Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy

WACV 2020 Charting the Right Manifold: Manifold Mixup for Few-Shot Learning Puneet Mangla, Nupur Kumari, Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy, Vineeth N Balasubramanian

MLJ 2020 Foreword: Special Issue for the Journal Track of the 12th Asian Conference on Machine Learning (ACML 2020) Kee-Eung Kim, Vineeth N. Balasubramanian

NeurIPS 2020 Meta-Consolidation for Continual Learning K J Joseph, Vineeth N Balasubramanian

WACV 2020 Munich to Dubai: How Far Is It for Semantic Segmentation? Shyam Nandan Rai, Vineeth N Balasubramanian, Anbumani Subramanian, C.V. Jawahar

ECML-PKDD 2020 On Saliency Maps and Adversarial Robustness Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian

CVPRW 2020 Towards Fine-Grained Sampling for Active Learning in Object Detection Sai Vikas Desai, Vineeth N. Balasubramanian

CVPRW 2019 Borrow from Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian

WACV 2019 C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian

IJCAI 2019 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian

ICML 2019 Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N Balasubramanian

IJCAI 2019 Submodular Batch Selection for Training Deep Neural Networks K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian

WACV 2018 Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian

ECCVW 2018 MASON: A Model AgnoStic ObjectNess Framework K. J. Joseph, Rajiv Chunilal Patel, Amit Srivastava, Uma Gupta, Vineeth N. Balasubramanian

ECCV 2018 RefocusGAN: Scene Refocusing Using a Single Image Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

ICCV 2017 Attentive Semantic Video Generation Using Captions Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian

ACML 2015 Similarity-Based Contrastive Divergence Methods for Energy-Based Deep Learning Models Adepu Ravi Sankar, Vineeth N Balasubramanian

CVPRW 2010 Learning from Summaries of Videos: Applying Batch Mode Active Learning to Face-Based Biometrics Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan

CVPRW 2008 Multiple Cue Integration in Transductive Confidence Machines for Head Pose Classification Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty