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

11 papers

cs.CV2026

COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing

Florian Barthel, Shalini De Mello, Koki Nagano +3

Recent 3D Gaussian Splatting (3DGS) GANs for human heads synthesize and render photorealistic 3D models in real-time and offer a vast variety in identity and appearance. However, c…

cs.CV2026

VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents

Amrita Mazumdar, Seonwook Park, Rajarshi Roy +6

Natural human conversation is full-duplex and audio-visual: people simultaneously speak and listen while continuously interpreting and producing nonverbal cues, such as nods, smile…

cs.CV2025

Instant Expressive Gaussian Head Avatars at Over 100 FPS

Kaiwen Jiang, Xueting Li, Seonwook Park +3

Portrait animation has witnessed tremendous quality improvements thanks to recent advances in video diffusion models. However, these 2D methods often compromise 3D consistency and…

cs.CV2024★ 1 cited

RegionGPT: Towards Region Understanding Vision Language Model

Qiushan Guo, Shalini De Mello, Hongxu Yin +5

Vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed reg…

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…

cs.CV2021★ 5 cited

Learning Continuous Environment Fields via Implicit Functions

Xueting Li, Shalini De Mello, Xiaolong Wang +3

We propose a novel scene representation that encodes reaching distance -- the distance between any position in the scene to a goal along a feasible trajectory. We demonstrate that…

cs.CV2019★ 53 cited

Joint-task Self-supervised Learning for Temporal Correspondence

Xueting Li, Sifei Liu, Shalini De Mello +3

This paper proposes to learn reliable dense correspondence from videos in a self-supervised manner. Our learning process integrates two highly related tasks: tracking large image r…