285 citations · 501 across the 18 of their papers we have counts for
20 papers
Implicit and Explicit Commonsense for Multi-sentence Video Captioning
Shih-Han Chou, James J. Little, Leonid Sigal
Existing dense or paragraph video captioning approaches rely on holistic representations of videos, possibly coupled with learned object/action representations, to condition hierar…
Bootstrapping Human Optical Flow and Pose
Aritro Roy Arko, James J. Little, Kwang Moo Yi
We propose a bootstrapping framework to enhance human optical flow and pose. We show that, for videos involving humans in scenes, we can improve both the optical flow and the pose…
UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields
Abiramy Kuganesan, Shih-yang Su, James J. Little +1
Neural Radiance Fields (NeRFs) increase reconstruction detail for novel view synthesis and scene reconstruction, with applications ranging from large static scenes to dynamic human…
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
Bastian Wandt, James J. Little, Helge Rhodin
Human pose estimation from single images is a challenging problem that is typically solved by supervised learning. Unfortunately, labeled training data does not yet exist for many…
OptiBox: Breaking the Limits of Proposals for Visual Grounding
Zicong Fan, Si Yi Meng, Leonid Sigal +1
The problem of language grounding has attracted much attention in recent years due to its pivotal role in more general image-lingual high level reasoning tasks (e.g., image caption…
Pan-tilt-zoom SLAM for Sports Videos
Jikai Lu, Jianhui Chen, James J. Little
We present an online SLAM system specifically designed to track pan-tilt-zoom (PTZ) cameras in highly dynamic sports such as basketball and soccer games. In these games, PTZ camera…