Vineeth N. Balasubramanian

222 papers A* 33A 28B 1C 3Misc 1Journal 116Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Conformal Prediction in the Age of Multimodal Foundation Models: A Survey. The Importance of Being Learnable Christian Stavan, Kunal Tilaganji, Sai Mathura Krishnan, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2026	J	`jnl`	Source-Free Domain Adaptation by Optimizing Batch-Wise Cosine Similarity. CoRR Harsharaj Pathak, Vineeth N. Balasubramanian
2026	J	`jnl`	interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors. CoRR Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma
2025	A*	`conf`	A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization. CVPR Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George, Vineeth N. Balasubramanian
2025	J	`jnl`	Annotation-Free Class-Incremental Learning. CoRR Hari Chandana Kuchibhotla, K. S. Ananth, Vineeth N. Balasubramanian
2025	J	`jnl`	BiasConnect: Investigating Bias Interactions in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	A*	`conf`	Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference. ICLR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2025	A	`conf`	DashGaze: Driver Gaze Through Dashcam. IROS Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
2025	J	`jnl`	Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs. CoRR Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2025	J	`jnl`	Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs. Trans. Mach. Learn. Res. Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2025	J	`jnl`	FW-Shapley: Real-time Estimation of Weighted Shapley Values. CoRR Pranoy Panda, Siddharth Tandon, Vineeth N. Balasubramanian
2025	J	`jnl`	Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection. CoRR Sairam VC Rebbapragada, Rishabh Lalla, Aveen Dayal, Tejal Kulkarni, Anuj Lalla, Vineeth N. Balasubramanian, Muhammad Haris Khan
2025	J	`jnl`	HARE: Human-in-the-Loop Algorithmic Recourse. Trans. Mach. Learn. Res. Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, Vineeth N. Balasubramanian
2025	J	`jnl`	Interpretable Model Drift Detection. CoRR Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha
2025	J	`jnl`	LogicCBMs: Logic-Enhanced Concept-Based Learning. CoRR Deepika Vemuri, Gautham Bellamkonda, Aditya Pola, Vineeth N. Balasubramanian
2025	J	`jnl`	Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks. CoRR Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal, Swarnim Maheshwari, Vineeth N. Balasubramanian
2025	—	`conf`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. EMNLP (Findings) Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	J	`jnl`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew Turk
2025	J	`jnl`	POET: Prompt Offset Tuning for Continual Human Action Adaptation. CoRR Prachi Garg, K. J. Joseph, Vineeth N. Balasubramanian, Necati Cihan Camgöz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando De la Torre
2025	—	`conf`	Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga. CVPR Workshops Bhat Dittakavi, Swarnim Maheshwari, Vineeth N. Balasubramanian
2025	A*	`conf`	Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance. CVPR Sanchayan Santra, Vishal M. Chudasama, Pankaj Wasnik, Vineeth N. Balasubramanian
2025	J	`jnl`	Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance. CoRR Sanchayan Santra, Vishal M. Chudasama, Pankaj Wasnik, Vineeth N. Balasubramanian
2025	—	`conf`	Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. ACL (1) Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal
2025	J	`jnl`	Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. CoRR Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal
2025	J	`jnl`	Semantic Alignment for Prompt-Tuning in Vision Language Models. Trans. Mach. Learn. Res. Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2025	A*	`conf`	Teaching Transformers Causal Reasoning through Axiomatic Training. ICML Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma
2025	J	`jnl`	Understanding Task Transfer in Vision-Language Models. CoRR Bhuvan Sachdeva, Karan Uppal, Abhinav Java, Vineeth N. Balasubramanian
2025	A*	`conf`	Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models. AAAI Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian
2025	J	`jnl`	Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models. CoRR Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian
2025	J	`jnl`	Where does an LLM begin computing an instruction? CoRR Aditya Pola, Vineeth N. Balasubramanian
2025	J	`jnl`	iSHIFT: Lightweight Slow-Fast GUI Agent with Adaptive Perception. CoRR Sarthak Mehrotra, Sairam VC Rebbapragada, Mani Hemanth Reddy Bonthu, Vineeth N. Balasubramanian
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	J	`jnl`	Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks. CoRR Tanmay Garg, Deepika Vemuri, Vineeth N. Balasubramanian
2024	J	`jnl`	Beyond Few-shot Object Detection: A Detailed Survey. CoRR Vishal M. Chudasama, Hiran Sarkar, Pankaj Wasnik, Vineeth N. Balasubramanian, Jayateja Kalla
2024	A*	`conf`	C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks. ICRA Sairam VC Rebbapragada, Pranoy Panda, Vineeth N. Balasubramanian
2024	J	`jnl`	C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks. CoRR Sairam VC Rebbapragada, Pranoy Panda, Vineeth N. Balasubramanian
2024	A	`conf`	CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction. WACV Bhat Dittakavi, Bharathi Callepalli, Aleti Vardhan, Sai Vikas Desai, Vineeth N. Balasubramanian
2024	J	`jnl`	Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? CoRR Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2024	A*	`conf`	Detecting and Measuring Confounding Using Causal Mechanism Shifts. NeurIPS Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2024	J	`jnl`	Detecting and Measuring Confounding Using Causal Mechanism Shifts. CoRR Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2024	J	`jnl`	Explaining Deep Face Algorithms Through Visualization: A Survey. IEEE Trans. Biom. Behav. Identity Sci. Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
2024	Misc	`conf`	FW-Shapley: Real-Time Estimation of Weighted Shapley Values. ICASSP Pranoy Panda, Siddharth Tandon, Vineeth N. Balasubramanian
2024	J	`jnl`	Grounding Descriptions in Images informs Zero-Shot Visual Recognition. CoRR Shaunak Halbe, Junjiao Tian, K. J. Joseph, James Seale Smith, Katherine Stevo, Vineeth N. Balasubramanian, Zsolt Kira
2024	—	`conf`	Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. ECCV (32) Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian
2024	—	`conf`	Interpretable Model Drift Detection. COMAD/CODS Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha
2024	A*	`conf`	NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. AAAI Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2024	J	`jnl`	On Evaluation of Vision Datasets and Models using Human Competency Frameworks. CoRR Rahul Ramachandran, Tejal Kulkarni, Charchit Sharma, Deepak Vijaykeerthy, Vineeth N. Balasubramanian
2024	A	`conf`	Open-Set Object Detection By Aligning Known Class Representations. WACV Hiran Sarkar, Vishal M. Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N. Balasubramanian
2024	J	`jnl`	Open-Set Object Detection By Aligning Known Class Representations. CoRR Hiran Sarkar, Vishal M. Chudasama, Naoyuki Onoe, Pankaj Wasnik, Vineeth N. Balasubramanian
2024	—	`conf`	POET: Prompt Offset Tuning for Continual Human Action Adaptation. ECCV (64) Prachi Garg, K. J. Joseph, Vineeth N. Balasubramanian, Necati Cihan Camgöz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando De la Torre
2024	A*	`conf`	Rethinking Robustness of Model Attributions. AAAI Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
2024	J	`jnl`	Teaching Transformers Causal Reasoning through Axiomatic Training. CoRR Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
2024	A*	`conf`	Towards Learning and Explaining Indirect Causal Effects in Neural Networks. AAAI Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar
2023	A	`conf`	ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. WACV Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian
2023	A*	`conf`	Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. ICCV Vimal K. B., Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
2023	J	`jnl`	Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. CoRR Vimal KB, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
2023	J	`jnl`	Causal Inference Using LLM-Guided Discovery. CoRR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2023	A*	`conf`	Data-Free Class-Incremental Hand Gesture Recognition. ICCV Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre
2023	J	`jnl`	Explaining Deep Face Algorithms through Visualization: A Survey. CoRR Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
2023	J	`jnl`	Learning Causal Attributions in Neural Networks: Beyond Direct Effects. CoRR Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L. Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar
2023	A	`conf`	Learning Style Subspaces for Controllable Unpaired Domain Translation. WACV Gaurav Bhatt, Vineeth N. Balasubramanian
2023	A*	`conf`	MADG: Margin-based Adversarial Learning for Domain Generalization. NeurIPS Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian
2023	J	`jnl`	MADG: Margin-based Adversarial Learning for Domain Generalization. CoRR Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian
2023	A*	`conf`	Mitigating the Effect of Incidental Correlations on Part-based Learning. NeurIPS Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2023	J	`jnl`	Mitigating the Effect of Incidental Correlations on Part-based Learning. CoRR Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2023	J	`jnl`	Rethinking Counterfactual Data Augmentation Under Confounding. CoRR Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian
2023	J	`jnl`	Rethinking Robustness of Model Attributions. CoRR Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
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
2023	A	`conf`	Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. BMVC Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
2023	J	`jnl`	Δ-Networks for Efficient Model Patching. CoRR Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
2022	A*	`conf`	A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2022	J	`jnl`	ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. CoRR Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian
2022	C	`ed.`	Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. ACML Vineeth N. Balasubramanian, Ivor W. Tsang
2022	A	`conf`	COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. WACV Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan
2022	—	`conf`	Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. ECCV (27) Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian
2022	J	`jnl`	Counterfactual Generation Under Confounding. CoRR Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
2022	A	`conf`	Data InStance Prior (DISP) in Generative Adversarial Networks. WACV Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
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	—	`conf`	ETL: Efficient Transfer Learning for Face Tasks. VISIGRAPP (5: VISAPP) Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar
2022	A*	`conf`	Energy-based Latent Aligner for Incremental Learning. CVPR K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian
2022	J	`jnl`	Energy-based Latent Aligner for Incremental Learning. CoRR K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian
2022	J	`jnl`	Estimating Treatment Effects using Neurosymbolic Program Synthesis. CoRR Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
2022	A	`conf`	Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. WACV Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma
2022	A	`conf`	FLUID: Few-Shot Self-Supervised Image Deraining. WACV Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar
2022	J	`jnl`	INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2022	A	`conf`	Improving Attribution Methods by Learning Submodular Functions. AISTATS Piyushi Manupriya, Tarun Ram Menta, Saketha Nath Jagarlapudi, Vineeth N. Balasubramanian
2022	J	`jnl`	Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
2022	A*	`conf`	Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2022	A	`conf`	Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2022	A*	`conf`	Matching Learned Causal Effects of Neural Networks with Domain Priors. ICML Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
2022	A	`conf`	Multi-Domain Incremental Learning for Semantic Segmentation. WACV Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
2022	A	`conf`	New Objects on the Road? No Problem, We'll Learn Them Too. IROS Deepak Kumar Singh, Shyam Nandan Rai, K. J. Joseph, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
2022	—	`conf`	Novel Class Discovery Without Forgetting. ECCV (24) K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
2022	J	`jnl`	Novel Class Discovery without Forgetting. CoRR K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
2022	A*	`conf`	On Causally Disentangled Representations. AAAI Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
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`	On the Robustness of Explanations of Deep Neural Network Models: A Survey. CoRR Amlan Jyoti, Karthik Balaji Ganesh, Manoj Gayala, Nandita Lakshmi Tunuguntla, Sandesh Kamath, Vineeth N. Balasubramanian
2022	—	`conf`	Pose Tutor: An Explainable System for Pose Correction in the Wild. CVPR Workshops Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma
2022	A*	`conf`	Proto2Proto: Can you recognize the car, the way I do? CVPR Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian
2022	J	`jnl`	Proto2Proto: Can you recognize the car, the way I do? CoRR Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian
2022	—	`conf`	Spacing Loss for Discovering Novel Categories. CVPR Workshops K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
2022	J	`jnl`	Spacing Loss for Discovering Novel Categories. CoRR K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
2022	A	`conf`	To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. WACV Vaishnavi Khindkar, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, Rohit Saluja, C. V. Jawahar
2022	J	`jnl`	Toward explainable deep learning. Commun. ACM Vineeth N. Balasubramanian
2022	—	`conf`	Universalization of Any Adversarial Attack using Very Few Test Examples. COMAD/CODS Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian
2022	A*	`conf`	Unseen Classes at a Later Time? No Problem. CVPR Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian
2022	J	`jnl`	Unseen Classes at a Later Time? No Problem. CoRR Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian
2021	A*	`conf`	A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. AAAI Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian
2021	A*	`conf`	Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	C	`ed.`	Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. ACML Vineeth N. Balasubramanian, Ivor W. Tsang
2021	—	`conf`	Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions. CVPR Workshops Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2021	A*	`conf`	Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks. NeurIPS Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N. Balasubramanian
2021	J	`jnl`	Canonical Saliency Maps: Decoding Deep Face Models. CoRR Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
2021	J	`jnl`	Canonical Saliency Maps: Decoding Deep Face Models. IEEE Trans. Biom. Behav. Identity Sci. Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
2021	J	`jnl`	Causal Regularization Using Domain Priors. CoRR Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma
2021	J	`jnl`	Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. CoRR Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan
2021	A*	`conf`	Enhanced Regularizers for Attributional Robustness. AAAI Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2021	J	`jnl`	Feature Generation for Long-tail Classification. CoRR Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi
2021	—	`conf`	Feature generation for long-tail classification. ICVGIP Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi
2021	J	`jnl`	Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. CoRR Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	J	`jnl`	Improving Attribution Methods by Learning Submodular Functions. CoRR Piyushi Manupriya, Saketha Nath Jagarlapudi, Tarun Ram Menta, Vineeth N. Balasubramanian
2021	J	`jnl`	Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2021	—	`conf`	Instance-Wise Causal Feature Selection for Model Interpretation. CVPR Workshops Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2021	J	`jnl`	Instance-wise Causal Feature Selection for Model Interpretation. CoRR Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2021	J	`jnl`	Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. CoRR Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian
2021	J	`jnl`	Multi-Domain Incremental Learning for Semantic Segmentation. CoRR Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
2021	—	`conf`	On Adversarial Robustness: A Neural Architecture Search perspective. ICCVW Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian
2021	J	`jnl`	On Causally Disentangled Representations. CoRR Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
2021	—	`conf`	On Challenges in Unsupervised Domain Generalization. Pre-Registration Workshop @ NeurIPS Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2021	A	`conf`	Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao
2021	J	`jnl`	Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao
2021	A*	`conf`	Towards Open World Object Detection. CVPR K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
2021	J	`jnl`	Towards Open World Object Detection. CoRR K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
2021	A	`conf`	Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. WACV Shivam Chandhok, Vineeth N. Balasubramanian
2020	J	`jnl`	A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. CoRR Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian
2020	A	`conf`	A Little Fog for a Large Turn. WACV Harshitha Machiraju, Vineeth N. Balasubramanian
2020	J	`jnl`	A Little Fog for a Large Turn. CoRR Harshitha Machiraju, Vineeth N. Balasubramanian
2020	A	`conf`	A Multi-Space Approach to Zero-Shot Object Detection. WACV Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S., Vineeth N. Balasubramanian, C. V. Jawahar
2020	J	`jnl`	An Empirical Study on the Robustness of NAS based Architectures. CoRR Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian
2020	J	`jnl`	Assisting Scene Graph Generation with Self-Supervision. CoRR Sandeep Inuganti, Vineeth N. Balasubramanian
2020	—	`conf`	Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	J	`jnl`	Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions. CoRR Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2020	A	`conf`	Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	J	`jnl`	Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey. CoRR Akshay L. Chandra, Sai Vikas Desai, Wei Guo, Vineeth N. Balasubramanian
2020	J	`jnl`	DANTE: Deep alternations for training neural networks. Neural Networks Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian
2020	J	`jnl`	Data Instance Prior for Transfer Learning in GANs. CoRR Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	J	`jnl`	Enhanced Regularizers for Attributional Robustness. CoRR Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2020	J	`jnl`	Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. CoRR Shivam Chandhok, Vineeth N. Balasubramanian
2020	J	`jnl`	Few Shot Learning With No Labels. CoRR Aditya Bharti, Vineeth N. Balasubramanian, C. V. Jawahar
2020	J	`jnl`	Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020). Mach. Learn. Kee-Eung Kim, Vineeth N. Balasubramanian
2020	J	`jnl`	Generative Adversarial Data Programming. CoRR Arghya Pal, Vineeth N. Balasubramanian
2020	—	`conf`	Human-Machine Collaboration for Face Recognition. COMAD/CODS Saurabh Ravindranath, Rahul Baburaj, Vineeth N. Balasubramanian, NageswaraRao Namburu, Sujit Gujar, C. V. Jawahar
2020	J	`jnl`	Meta-Consolidation for Continual Learning. CoRR K. J. Joseph, Vineeth N. Balasubramanian
2020	A	`conf`	Munich to Dubai: How far is it for Semantic Segmentationƒ. WACV Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar
2020	—	`conf`	On Initial Pools for Deep Active Learning. Preregister@NeurIPS Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2020	J	`jnl`	On Initial Pools for Deep Active Learning. CoRR Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2020	—	`conf`	On Saliency Maps and Adversarial Robustness. ECML/PKDD (2) Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian
2020	J	`jnl`	On Saliency Maps and Adversarial Robustness. CoRR Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian
2020	—	`conf`	STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. ICONIP (5) Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian
2020	A	`conf`	Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather. BMVC Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar
2020	—	`conf`	Towards Fine-grained Sampling for Active Learning in Object Detection. CVPR Workshops Sai Vikas Desai, Vineeth N. Balasubramanian
2020	J	`jnl`	VarMixup: Exploiting the Latent Space for Robust Training and Inference. CoRR Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth N. Balasubramanian
2020	J	`jnl`	Zero Shot Domain Generalization. CoRR Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2020	A	`conf`	Zero-Shot Domain Generalization. BMVC Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
2019	J	`jnl`	Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. CoRR Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo
2019	J	`jnl`	AdvGAN++ : Harnessing latent layers for adversary generation. CoRR Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian
2019	A	`conf`	An Adaptive Supervision Framework for Active Learning in Object Detection. BMVC Sai Vikas Desai, Akshay Chandra Lagandula, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian
2019	J	`jnl`	An Adaptive Supervision Framework for Active Learning in Object Detection. CoRR Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian
2019	J	`jnl`	Automatic estimation of heading date of paddy rice using deep learning. CoRR Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo
2019	—	`conf`	Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. CVPR Workshops Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian
2019	J	`jnl`	Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. CoRR Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian
2019	A	`conf`	C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. WACV K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
2019	J	`jnl`	Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2019	J	`jnl`	DANTE: Deep AlterNations for Training nEural networks. CoRR Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian
2019	A*	`conf`	Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2019	J	`jnl`	Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian
2019	J	`jnl`	Low-Cost Transfer Learning of Face Tasks. CoRR Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar
2019	A*	`conf`	Neural Network Attributions: A Causal Perspective. ICML Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
2019	J	`jnl`	Neural Network Attributions: A Causal Perspective. CoRR Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
2019	J	`jnl`	On the Benefits of Attributional Robustness. CoRR Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2019	A*	`conf`	Submodular Batch Selection for Training Deep Neural Networks. IJCAI K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian
2019	J	`jnl`	Submodular Batch Selection for Training Deep Neural Networks. CoRR K. J. Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N. Balasubramanian
2019	J	`jnl`	Teaching GANs to Sketch in Vector Format. CoRR Varshaneya V, S. Balasubramanian, Vineeth N. Balasubramanian
2019	A*	`conf`	Zero-Shot Task Transfer. CVPR Arghya Pal, Vineeth N. Balasubramanian
2019	J	`jnl`	Zero-Shot Task Transfer. CoRR Arghya Pal, Vineeth N. Balasubramanian
2018	A*	`conf`	Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CVPR Arghya Pal, Vineeth N. Balasubramanian
2018	J	`jnl`	Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. CoRR Arghya Pal, Vineeth N. Balasubramanian
2018	—	`conf`	Are saddles good enough for neural networks. COMAD/CODS Adepu Ravi Sankar, Vineeth N. Balasubramanian
2018	J	`jnl`	C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. CoRR K. J. Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N. Balasubramanian
2018	J	`jnl`	Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. CoRR Vaibhav B. Sinha, Sukrut Rao, Vineeth N. Balasubramanian
2018	A	`conf`	Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. WACV Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
2018	J	`jnl`	Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Pattern Recognit. Lett. Nakul Agarwal, Vineeth N. Balasubramanian, C. V. Jawahar
2018	—	`conf`	MASON: A Model AgnoStic ObjectNess Framework. ECCV Workshops (5) K. J. Joseph, Rajiv Chunilal Patel, Amit Srivastava, Uma Gupta, Vineeth N. Balasubramanian
2018	J	`jnl`	MASON: A Model AgnoStic ObjectNess Framework. CoRR K. J. Joseph, Vineeth N. Balasubramanian
2018	A	`conf`	Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation. BMVC Gattigorla Nagendar, Digvijay Singh, Vineeth N. Balasubramanian, C. V. Jawahar
2018	J	`jnl`	On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. CoRR Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian
2018	—	`conf`	RefocusGAN: Scene Refocusing Using a Single Image. ECCV (4) Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan
2018	—	`conf`	STwalk: learning trajectory representations in temporal graphs. COMAD/CODS Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian
2018	—	`conf`	VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 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
2017	J	`jnl`	ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent. CoRR Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
2017	J	`jnl`	Are Saddles Good Enough for Deep Learning? CoRR Adepu Ravi Sankar, Vineeth N. Balasubramanian
2017	A*	`conf`	Attentive Semantic Video Generation Using Captions. ICCV Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian
2017	J	`jnl`	Attentive Semantic Video Generation using Captions. CoRR Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian
2017	J	`jnl`	Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks. CoRR Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
2017	A	`conf`	Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras. IROS Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth N. Balasubramanian, K. Madhava Krishna
2017	J	`jnl`	Multiresolution Match Kernels for Gesture Video Classification. CoRR Hemanth Venkateswara, Vineeth N. Balasubramanian, Prasanth Lade, Sethuraman Panchanathan
2017	J	`jnl`	STWalk: Learning Trajectory Representations in Temporal Graphs. CoRR Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian
2017	—	`conf`	Sequence-to-Sequence Learning for Human Pose Correction in Videos. ACPR Sirnam Swetha, Vineeth N. Balasubramanian, C. V. Jawahar
2017	A*	`conf`	Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures. ACM Multimedia Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian
2016	J	`jnl`	Community-based Outlier Detection for Edge-attributed Graphs. CoRR Supriya Pandhre, Manish Gupta, Vineeth N. Balasubramanian
2016	J	`jnl`	Deep Model Compression: Distilling Knowledge from Noisy Teachers. CoRR Bharat Bhusan Sau, Vineeth N. Balasubramanian
2016	J	`jnl`	Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures. CoRR Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian
2015	—	`conf`	Model Selection Using Efficiency of Conformal Predictors. SLDS Ritvik Jaiswal, Vineeth N. Balasubramanian
2015	—	`conf`	Scaling Up the Training of Deep CNNs for Human Action Recognition. IPDPS Workshops M. Sai Rajeswar, Adepu Ravi Sankar, Vineeth N. Balasubramanian, C. D. Sudheer
2015	C	`conf`	Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. ACML Adepu Ravi Sankar, Vineeth N. Balasubramanian
2012	B	`conf`	A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs. Image Processing Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.
2012	—	`conf`	A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs. Computer-Aided Diagnosis Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.
2010	—	`conf`	Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. CVPR Workshops Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan
2010	—	`conf`	What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction. Computer-Aided Diagnosis Mohammad A. Alzubaidi, Vineeth N. Balasubramanian, Ameet Patel, Sethuraman Panchanathan, John A. Black Jr.
2008	—	`conf`	Multiple cue integration in transductive confidence machines for head pose classification. CVPR Workshops Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty