Saketh Bachu - RankMe

16 papers A* 4A 1C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
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`	Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models. ICML Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury
2025	A	`conf`	STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation. WACV Rohit Lal, Saketh Bachu, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Hannah Dela Cruz, Dripta S. Raychaudhuri, M. Salman Asif, Amit K. Roy-Chowdhury
2025	J	`jnl`	Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation. CoRR Arindam Dutta, Sarosij Bose, Saketh Bachu, Calvin-Khang Ta, Konstantinos Karydis, Amit K. Roy-Chowdhury
2025	J	`jnl`	VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions. CoRR Yash Garg, Saketh Bachu, Arindam Dutta, Rohit Lal, Sarosij Bose, Calvin-Khang Ta, M. Salman Asif, Amit K. Roy-Chowdhury
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	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
2024	J	`jnl`	Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models. CoRR Saketh Bachu, Erfan Shayegani, Trishna Chakraborty, Rohit Lal, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit K. Roy-Chowdhury
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	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	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`	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
2022	C	`conf`	Multi-Stage Pyramid Parsing Network For Lane Marking Detection. INISTA Tushar Garg, Saketh Bachu, Deepak Panda, Mallikarjuna Reddy, Shaikh Ibrahim, Bharath Bhat
2020	—	`conf`	Paying Attention to Video Generation. Preregister@NeurIPS Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay R. Kulkarni, Shital S. Chiddarwar