366 citations · 480 across the 16 of their papers we have counts for
15 papers
Enhancing Zero-shot Counting via Language-guided Exemplar Learning
Mingjie Wang, Jun Zhou, Yong Dai +2
Recently, Class-Agnostic Counting (CAC) problem has garnered increasing attention owing to its intriguing generality and superior efficiency compared to Category-Specific Counting…
GRIG: Few-Shot Generative Residual Image Inpainting
Wanglong Lu, Xianta Jiang, Xiaogang Jin +5
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents. Recent methods have shown significant improvement in dealing…
FER-former: Multi-modal Transformer for Facial Expression Recognition
Yande Li, Mingjie Wang, Minglun Gong +2
The ever-increasing demands for intuitive interactions in Virtual Reality has triggered a boom in the realm of Facial Expression Recognition (FER). To address the limitations in ex…
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Mingjie Wang, Yande Li, Jun Zhou +2
The class-agnostic counting (CAC) problem has caught increasing attention recently due to its wide societal applications and arduous challenges. To count objects of different categ…
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
Mingjie Wang, Jun Zhou, Hao Cai +1
Existing state-of-the-art crowd counting algorithms rely excessively on location-level annotations, which are burdensome to acquire. When only count-level (weak) supervisory signal…
Action2video: Generating Videos of Human 3D Actions
Chuan Guo, Xinxin Zuo, Sen Wang +4
We aim to tackle the interesting yet challenging problem of generating videos of diverse and natural human motions from prescribed action categories. The key issue lies in the abil…
3D Pose Estimation and Future Motion Prediction from 2D Images
Ji Yang, Youdong Ma, Xinxin Zuo +3
This paper considers to jointly tackle the highly correlated tasks of estimating 3D human body poses and predicting future 3D motions from RGB image sequences. Based on Lie algebra…
EventHPE: Event-based 3D Human Pose and Shape Estimation
Shihao Zou, Chuan Guo, Xinxin Zuo +6
Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals…
Object Wake-up: 3D Object Rigging from a Single Image
Ji Yang, Xinxin Zuo, Sen Wang +5
Given a single image of a general object such as a chair, could we also restore its articulated 3D shape similar to human modeling, so as to animate its plausible articulations and…
Self-supervised 3D Human Mesh Recovery from Noisy Point Clouds
Xinxin Zuo, Sen Wang, Qiang Sun +2
This paper presents a novel self-supervised approach to reconstruct human shape and pose from noisy point cloud data. Relying on large amount of dataset with ground-truth annotatio…
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
Mingjie Wang, Hao Cai, Xianfeng Han +2
Crowd counting remains a challenging task because the presence of drastic scale variation, density inconsistency, and complex background can seriously degrade the counting accuracy…
TAP-Net: Transport-and-Pack using Reinforcement Learning
Ruizhen Hu, Juzhan Xu, Bin Chen +3
We introduce the transport-and-pack(TAP) problem, a frequently encountered instance of real-world packing, and develop a neural optimization solution based on reinforcement learnin…
Action2Motion: Conditioned Generation of 3D Human Motions
Chuan Guo, Xinxin Zuo, Sen Wang +5
Action recognition is a relatively established task, where givenan input sequence of human motion, the goal is to predict its ac-tion category. This paper, on the other hand, consi…
3D Human Shape Reconstruction from a Polarization Image
Shihao Zou, Xinxin Zuo, Yiming Qian +4
This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. Polarization images are known to be able to…
Polarization Human Shape and Pose Dataset
Shihao Zou, Xinxin Zuo, Yiming Qian +5
Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in recons…