← Authors

Xiaodong Yang

33 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (68) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam 🀝 Dynamic Duo (12) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (163) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (33)

Conferences

CVPR (16) ICCV (5) ECCV (4) AAAI (2) ICML (2) IJCAI (2) ICLR (1) NIPS (1)

Top co-authors

Jan Kautz (12) Ming-Yu Liu (7) Yingwei Zhang (4) Chenxu Luo (4) Zhiding Yu (4) Yiqiang Chen (4) Hanchao Yu (3) Milind Naphade (3) Alan Yuille (2) Zhongzheng Ren (2)

Research topics

Computer Vision (1)

Keywords

autonomous driving (5) neural network (3) object detection (3) recurrent neural network (3) lidar point cloud (2) pose estimation (2) knowledge distillation (2) generative model (2) multi-object tracking (2) convolutional neural network (2) motion estimation (2) vehicle re-identification (2) 3d object detection (2) generative adversarial network (2) federated learning (2) video generation (2) disparity estimation (1) adversarial learning (1) image restoration (1) imitation learning (1)

Papers

All-directional Disparity Estimation for Real-world QPD Images CVPR 2025
Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model CVPR 2025
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control CVPR 2024
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate ICLR 2024
Network Tight Community Detection ICML 2024
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation ICCV 2023
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving ICML 2023
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds CVPR 2023
ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals CVPR 2023
GEDepth: Ground Embedding for Monocular Depth Estimation ICCV 2023
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving ICCV 2021
Self-Supervised Pillar Motion Learning for Autonomous Driving CVPR 2021
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection CVPR 2020
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification ECCV 2020
Simulating Content Consistent Vehicle Datasets with Attribute Descent ECCV 2020
Contrastive Learning for Weakly Supervised Phrase Grounding ECCV 2020
UFOΒ²: A Unified Framework towards Omni-supervised Object Detection ECCV 2020
Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation IJCAI 2020
Joint Discriminative and Generative Learning for Person Re-Identification CVPR 2019
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell ICCV 2019
Dancing to Music NIPS 2019
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data ICCV 2019
STEP: Spatio-Temporal Progressive Learning for Video Action Detection CVPR 2019
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification CVPR 2019
MoCoGAN: Decomposing Motion and Content for Video Generation CVPR 2018
Making Convolutional Networks Recurrent for Visual Sequence Learning CVPR 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume CVPR 2018
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017
Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network CVPR 2016
Super Normal Vector for Activity Recognition Using Depth Sequences CVPR 2014