19 citations · 20 across the 5 of their papers we have counts for
6 papers
Motion-Guided Masking for Spatiotemporal Representation Learning
David Fan, Jue Wang, Shuai Liao +5
Several recent works have directly extended the image masked autoencoder (MAE) with random masking into video domain, achieving promising results. However, unlike images, both spat…
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee +5
Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts. However, these studies have overlooked the essential task of multimodal a…
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
David Fan, Deyu Yang, Xinyu Li +2
Contrastive learning has recently narrowed the gap between self-supervised and supervised methods in image and video domain. State-of-the-art video contrastive learning methods suc…
Privacy Preserving Visual Question Answering
Cristian-Paul Bara, Qing Ping, Abhinav Mathur +3
We introduce a novel privacy-preserving methodology for performing Visual Question Answering on the edge. Our method constructs a symbolic representation of the visual scene, using…
Unsupervised 3D Pose Estimation with Geometric Self-Supervision
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal +4
We present an unsupervised learning approach to recover 3D human pose from 2D skeletal joints extracted from a single image. Our method does not require any multi-view image data,…
Can 3D Pose be Learned from 2D Projections Alone?
Dylan Drover, Rohith MV, Ching-Hang Chen +3
3D pose estimation from a single image is a challenging task in computer vision. We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks. O…