147 citations · 212 across the 8 of their papers we have counts for
8 papers
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Li Li, Wei Ji, Yiming Wu +4
Panoptic Scene Graph Generation (PSG) parses objects and predicts their relationships (predicate) to connect human language and visual scenes. However, different language preferenc…
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
Yiming Wu, Ruixiang Li, Zequn Qin +2
Vision-based Bird's Eye View (BEV) representation is an emerging perception formulation for autonomous driving. The core challenge is to construct BEV space with multi-camera featu…
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding
Wei Ji, Long Chen, Yinwei Wei +2
Given an untrimmed video and natural language query, video sentence grounding aims to localize the target temporal moment in the video. Existing methods mainly tackle this task by…
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Xintian Wu, Qihang Zhang, Yiming Wu +4
Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion. Pr…
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
Xintian Wu, Huanyu Wang, Yiming Wu +1
As an important and challenging problem, few-shot image generation aims at generating realistic images through training a GAN model given few samples. A typical solution for few-sh…
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen, Guangchen Lin, Songyuan Li +6
Panoptic segmentation aims to perform instance segmentation for foreground instances and semantic segmentation for background stuff simultaneously. The typical top-down pipeline co…
Adaptive Graph Representation Learning for Video Person Re-identification
Yiming Wu, Omar El Farouk Bourahla, Xi Li +3
Recent years have witnessed the remarkable progress of applying deep learning models in video person re-identification (Re-ID). A key factor for video person Re-ID is to effectivel…
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images
Yiming Wu, Wei Ji, Xi Li +3
As a fundamental and challenging problem in computer vision, hand pose estimation aims to estimate the hand joint locations from depth images. Typically, the problem is modeled as…