Saketh Bachu

According to our database, Saketh Bachu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 K. Roy-Chowdhury

CoRR, August, 2025

Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation.

Arindam Dutta, Sarosij Bose, Saketh Bachu, Calvin-Khang Ta, Konstantinos Karydis, Amit K. Roy-Chowdhury

CoRR, January, 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 K. Roy-Chowdhury

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models.

Saketh Bachu, Erfan Shayegani, Trishna Chakraborty, Rohit Lal, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit K. Roy-Chowdhury

CoRR, 2024

Active Transferability Estimation.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Inference Using LLM-Guided Discovery.

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2023

Rethinking Counterfactual Data Augmentation Under Confounding.

Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian

CoRR, 2023

Learning Causal Attributions in Neural Networks: Beyond Direct Effects.

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L. Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar

CoRR, 2023

Towards Estimating Transferability using Hard Subsets.

Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar

CoRR, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multi-Stage Pyramid Parsing Network For Lane Marking Detection.

Tushar Garg, Saketh Bachu, Deepak Panda, Mallikarjuna Reddy, Shaikh Ibrahim, Bharath Bhat

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2020

Paying Attention to Video Generation.

Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay R. Kulkarni, Shital S. Chiddarwar

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020