1 citations · 2 across the 6 of their papers we have counts for
6 papers
VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions
Yash Garg, Saketh Bachu, Arindam Dutta +5
Human pose and shape (HPS) estimation methods have been extensively studied, with many demonstrating high zero-shot performance on in-the-wild images and videos. However, these met…
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
Saketh Bachu, Erfan Shayegani, Rohit Lal +6
Vision-language models (VLMs) have improved significantly in their capabilities, but their complex architecture makes their safety alignment challenging. In this paper, we reveal a…
Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose Prior
Calvin-Khang Ta, Arindam Dutta, Rohit Kundu +4
The Skinned Multi-Person Linear (SMPL) model plays a crucial role in 3D human pose estimation, providing a streamlined yet effective representation of the human body. However, ensu…
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation
Arindam Dutta, Rohit Lal, Yash Garg +4
Existing algorithms for human body part segmentation have shown promising results on challenging datasets, primarily relying on end-to-end supervision. However, these algorithms ex…
STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation
Rohit Lal, Saketh Bachu, Yash Garg +6
The capability to accurately estimate 3D human poses is crucial for diverse fields such as action recognition, gait recognition, and virtual/augmented reality. However, a persisten…
POISE: Pose Guided Human Silhouette Extraction under Occlusions
Arindam Dutta, Rohit Lal, Dripta S. Raychaudhuri +2
Human silhouette extraction is a fundamental task in computer vision with applications in various downstream tasks. However, occlusions pose a significant challenge, leading to inc…