Vineeth N. Balasubramanian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
90
Venues
18
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
90 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs. | Sai Srinivas Kancheti, Aditya Sanjiv Kanade, Vineeth N. Balasubramanian, Tanuja Ganu |
| 2026 | ACL | Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs. | Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Tanuja Ganu |
| 2026 | WACV | Grounding Descriptions in Images informs Zero-Shot Visual Recognition. | Shaunak Halbe, Junjiao Tian, K. J. Joseph, James Seale Smith, Katherine Stevo, Vineeth N. Balasubramanian, Zsolt Kira |
| 2026 | WACV | LogicCBMs: Logic-Enhanced Concept-Based Learning. | Deepika Vemuri, Gautham Bellamkonda, Aditya Pola, Vineeth N. Balasubramanian |
| 2025 | AAAI | Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models. | Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian |
| 2025 | ACL | Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. | Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal |
| 2025 | CVPR | A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization. | Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George, Vineeth N. Balasubramanian |
| 2025 | CVPR | Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga. | Bhat Dittakavi, Swarnim Maheshwari, Vineeth N. Balasubramanian |
| 2025 | CVPR | Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance. | Sanchayan Santra, Vishal M. Chudasama, Pankaj Wasnik, Vineeth N. Balasubramanian |
| 2025 | EMNLP | Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. | Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk |
| 2025 | ICLR | 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 |
| 2025 | ICML | Teaching Transformers Causal Reasoning through Axiomatic Training. | Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma |
| 2025 | IROS | DashGaze: Driver Gaze Through Dashcam. | Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar |
| 2024 | AAAI | Rethinking Robustness of Model Attributions. | Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian |
| 2024 | AAAI | NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. | Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian |
| 2024 | AAAI | 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 |
| 2024 | COMAD | Interpretable Model Drift Detection. | Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha |
| 2024 | CVPR | Active Transferability Estimation. | Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal |
| 2024 | ECCV | Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. | Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian |
| 2024 | ECCV | POET: Prompt Offset Tuning for Continual Human Action Adaptation. | Prachi Garg, K. J. Joseph, Vineeth N. Balasubramanian, Necati Cihan Camgz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando De la Torre |
| 2024 | ICASSP | FW-Shapley: Real-Time Estimation of Weighted Shapley Values. | Pranoy Panda, Siddharth Tandon, Vineeth N. Balasubramanian |
| 2024 | ICRA | C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks. | Sairam VC Rebbapragada, Pranoy Panda, Vineeth N. Balasubramanian |
| 2024 | WACV | CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction. | Bhat Dittakavi, Bharathi Callepalli, Aleti Vardhan, Sai Vikas Desai, Vineeth N. Balasubramanian |
| 2024 | WACV | Open-Set Object Detection By Aligning Known Class Representations. | Hiran Sarkar, Vishal M. Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N. Balasubramanian |
| 2023 | BMVC | Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. | Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian |
| 2023 | COMAD | RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. | Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2023 | ICCV | Data-Free Class-Incremental Hand Gesture Recognition. | Shubhra Aich, Jess Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgz, Shugao Ma, Fernando De la Torre |
| 2023 | ICCV | Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. | Vimal K. B., Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian |
| 2023 | WACV | Learning Style Subspaces for Controllable Unpaired Domain Translation. | Gaurav Bhatt, Vineeth N. Balasubramanian |
| 2023 | WACV | ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. | Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian |
| 2022 | AAAI | Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). | Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian |
| 2022 | AAAI | On Causally Disentangled Representations. | Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian |
| 2022 | AISTATS | Improving Attribution Methods by Learning Submodular Functions. | Piyushi Manupriya, Tarun Ram Menta, Saketha Nath Jagarlapudi, Vineeth N. Balasubramanian |
| 2022 | COMAD | Universalization of Any Adversarial Attack using Very Few Test Examples. | Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian |
| 2022 | CVPR | A Framework for Learning Ante-hoc Explainable Models via Concepts. | Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Energy-based Latent Aligner for Incremental Learning. | K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian |
| 2022 | CVPR | Spacing Loss for Discovering Novel Categories. | K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian |
| 2022 | CVPR | Proto2Proto: Can you recognize the car, the way I do? | Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian |
| 2022 | CVPR | Unseen Classes at a Later Time? No Problem. | Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian |
| 2022 | ECCV | Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. | Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian |
| 2022 | ECCV | Distilling the Undistillable: Learning from a Nasty Teacher. | Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy |
| 2022 | ECCV | Novel Class Discovery Without Forgetting. | K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian |
| 2022 | ICML | Matching Learned Causal Effects of Neural Networks with Domain Priors. | Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma |
| 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 | WACV | Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. | Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma |
| 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 | COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. | Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan |
| 2022 | WACV | Data InStance Prior (DISP) in Generative Adversarial Networks. | Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2022 | WACV | FLUID: Few-Shot Self-Supervised Image Deraining. | Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar |
| 2022 | WACV | Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. | Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Enhanced Regularizers for Attributional Robustness. | Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian |
| 2021 | BMVC | Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. | Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao |
| 2021 | CVPR | Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions. | Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian |
| 2021 | CVPR | Towards Open World Object Detection. | K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian |
| 2021 | CVPR | Instance-Wise Causal Feature Selection for Model Interpretation. | Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian |
| 2021 | WACV | Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. | Shivam Chandhok, Vineeth N. Balasubramanian |
| 2020 | BMVC | Zero-Shot Domain Generalization. | Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, rn Dogan, Vineeth N. Balasubramanian |
| 2020 | BMVC | Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather. | Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar |
| 2020 | COMAD | Human-Machine Collaboration for Face Recognition. | Saurabh Ravindranath, Rahul Baburaj, Vineeth N. Balasubramanian, NageswaraRao Namburu, Sujit Gujar, C. V. Jawahar |
| 2020 | CVPR | Towards Fine-grained Sampling for Active Learning in Object Detection. | Sai Vikas Desai, Vineeth N. Balasubramanian |
| 2020 | ECCV | Attributional Robustness Training Using Input-Gradient Spatial Alignment. | Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy |
| 2020 | ICONIP | STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. | Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian |
| 2020 | WACV | A Multi-Space Approach to Zero-Shot Object Detection. | Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S., Vineeth N. Balasubramanian, C. V. Jawahar |
| 2020 | WACV | A Little Fog for a Large Turn. | Harshitha Machiraju, Vineeth N. Balasubramanian |
| 2020 | WACV | Charting the Right Manifold: Manifold Mixup for Few-shot Learning. | Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy |
| 2020 | WACV | Munich to Dubai: How far is it for Semantic Segmentationƒ. | Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar |
| 2019 | BMVC | An Adaptive Supervision Framework for Active Learning in Object Detection. | Sai Vikas Desai, Akshay Chandra Lagandula, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian |
| 2019 | CVPR | Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. | Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian |
| 2019 | CVPR | Zero-Shot Task Transfer. | Arghya Pal, Vineeth N. Balasubramanian |
| 2019 | ICML | Neural Network Attributions: A Causal Perspective. | Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian |
| 2019 | IJCAI | Submodular Batch Selection for Training Deep Neural Networks. | K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian |
| 2019 | IJCAI | Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. | Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2019 | WACV | C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. | K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian |
| 2018 | BMVC | Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation. | Gattigorla Nagendar, Digvijay Singh, Vineeth N. Balasubramanian, C. V. Jawahar |
| 2018 | COMAD | STwalk: learning trajectory representations in temporal graphs. | Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian |
| 2018 | COMAD | Are saddles good enough for neural networks. | Adepu Ravi Sankar, Vineeth N. Balasubramanian |
| 2018 | COMAD | Untitled record | Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian |
| 2018 | CVPR | Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. | Arghya Pal, Vineeth N. Balasubramanian |
| 2018 | ECCV | MASON: A Model AgnoStic ObjectNess Framework. | K. J. Joseph, Rajiv Chunilal Patel, Amit Srivastava, Uma Gupta, Vineeth N. Balasubramanian |
| 2018 | ECCV | RefocusGAN: Scene Refocusing Using a Single Image. | Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan |
| 2018 | ECCV | 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 Laganire, 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 |
| 2018 | WACV | Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. | Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian |
| 2017 | ICCV | Attentive Semantic Video Generation Using Captions. | Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian |
| 2017 | IROS | Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. | Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth N. Balasubramanian, K. Madhava Krishna |
| 2015 | ACML | Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. | Adepu Ravi Sankar, Vineeth N. Balasubramanian |
| 2010 | CVPR | Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. | Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan |
| 2008 | CVPR | Multiple cue integration in transductive confidence machines for head pose classification. | Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty |