activity
20192026
most citedJoint-task Self-supervised Learning for Temporal Correspondence

53 citations · 86 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 2 cited

GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning

Ye Yuan, Xueting Li, Yangyi Huang +4

Gaussian splatting has emerged as a powerful 3D representation that harnesses the advantages of both explicit (mesh) and implicit (NeRF) 3D representations. In this paper, we seek…

cs.LG2023★ 13 cited

Convolutional State Space Models for Long-Range Spatiotemporal Modeling

Jimmy T. H. Smith, Shalini De Mello, Jan Kautz +2

Effectively modeling long spatiotemporal sequences is challenging due to the need to model complex spatial correlations and long-range temporal dependencies simultaneously. ConvLST…

cs.CV2023

Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation

Yunhan Wang, Xiangwei Shi, Shalini De Mello +2

With the rapid development of deep learning technology in the past decade, appearance-based gaze estimation has attracted great attention from both computer vision and human-comput…

cs.CV2023★ 1 cited

Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos

Ekta Prashnani, Koki Nagano, Shalini De Mello +2

Modern avatar generators allow anyone to synthesize photorealistic real-time talking avatars, ushering in a new era of avatar-based human communication, such as with immersive AR/V…

cs.CV2023★ 11 cited

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Jiarui Xu, Sifei Liu, Arash Vahdat +3

We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panopti…