Wentao Liu

29

Papers

444

Total Citations

Papers (29)

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

Harmonizing Visual Representations for Unified Multimodal Understanding and Generation

CLIM: Contrastive Language-Image Mosaic for Region Representation

F-LMM: Grounding Frozen Large Multimodal Models

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

NADER: Neural Architecture Design via Multi-Agent Collaboration

UniFS: Universal Few-shot Instance Perception with Point Representations

ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries

TRB: A Novel Triplet Representation for Understanding 2D Human Body

Human Pose Regression With Residual Log-Likelihood Estimation

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images

Automatic Animation of Hair Blowing in Still Portrait Photos

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation

Whole-Body Human Pose Estimation in the Wild

Omni-sourced Webly-supervised Learning for Video Recognition

PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation

3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal

Pose for Everything: Towards Category-Agnostic Pose Estimation

Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

Multi-Person Articulated Tracking With Spatial and Temporal Embeddings

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

3D Human Mesh Regression With Dense Correspondence

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer

Aligning Bag of Regions for Open-Vocabulary Object Detection