2 citations · 7 across the 6 of their papers we have counts for
6 papers
Diverse Shape Completion via Style Modulated Generative Adversarial Networks
Wesley Khademi, Li Fuxin
Shape completion aims to recover the full 3D geometry of an object from a partial observation. This problem is inherently multi-modal since there can be many ways to plausibly comp…
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation
Jialin Yuan, Jay Patravali, Hung Nguyen +2
Unsupervised Video Object Segmentation (UVOS) aims at discovering objects and tracking them through videos. For accurate UVOS, we observe if one can locate precise segment proposal…
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
Ye Yu, Jialin Yuan, Gaurav Mittal +2
Video Object Segmentation (VOS) is fundamental to video understanding. Transformer-based methods show significant performance improvement on semi-supervised VOS. However, existing…
A Continuous Optimization Approach for Efficient and Accurate Scene Flow
Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla +3
We propose a continuous optimization method for solving dense 3D scene flow problems from stereo imagery. As in recent work, we represent the dynamic 3D scene as a collection of ri…
GASP : Geometric Association with Surface Patches
Rahul Sawhney, Fuxin Li, Henrik I. Christensen
A fundamental challenge to sensory processing tasks in perception and robotics is the problem of obtaining data associations across views. We present a robust solution for ascertai…
Learning Random Kernel Approximations for Object Recognition
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu
Approximations based on random Fourier features have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines. By expressing the k…