571 citations · 3.6k across the 80 of their papers we have counts for
8 papers · 1 filter
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai +2
Semi-supervised object detection is important for 3D scene understanding because obtaining large-scale 3D bounding box annotations on point clouds is time-consuming and labor-inten…
Beyond SOT: Tracking Multiple Generic Objects at Once
Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang +3
Generic Object Tracking (GOT) is the problem of tracking target objects, specified by bounding boxes in the first frame of a video. While the task has received much attention in th…
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li +3
Automatically estimating 3D skeleton, shape, camera viewpoints, and part articulation from sparse in-the-wild image ensembles is a severely under-constrained and challenging proble…
Physics-based Indirect Illumination for Inverse Rendering
Youming Deng, Xueting Li, Sifei Liu +1
We present a physics-based inverse rendering method that learns the illumination, geometry, and materials of a scene from posed multi-view RGB images. To model the illumination of…
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Yang Song +6
Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation,…
Learning Visibility for Robust Dense Human Body Estimation
Chun-Han Yao, Jimei Yang, Duygu Ceylan +3
Estimating 3D human pose and shape from 2D images is a crucial yet challenging task. While prior methods with model-based representations can perform reasonably well on whole-body…
An Extendable, Efficient and Effective Transformer-based Object Detector
Hwanjun Song, Deqing Sun, Sanghyuk Chun +5
Transformers have been widely used in numerous vision problems especially for visual recognition and detection. Detection transformers are the first fully end-to-end learning syste…
Neural Rendering of Humans in Novel View and Pose from Monocular Video
Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang +1
We introduce a new method that generates photo-realistic humans under novel views and poses given a monocular video as input. Despite the significant progress recently on this topi…