Bachu, Saketh

8 publications

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

ICML 2025 Layer-Wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury

WACV 2025 STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation Rohit Lal, Saketh Bachu, Yash Garg, Arindam Dutta, Calvin-Khang Ta, Hannah Dela Cruz, Dripta S. Raychaudhuri, M. Salman Asif, Amit Roy-Chowdhury

ICCV 2025 VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation Under Real Occlusions Yash Garg, Saketh Bachu, Arindam Dutta, Rohit Lal, Sarosij Bose, Calvin-Khang Ta, M. Salman Asif, Amit Roy-Chowdhury

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

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

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

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