← Authors

Renjie Liao

46 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (64) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (20) πŸ”¬ Deep Specialist (10) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (146) πŸ’Ž Century Club (46) ⚑ Prolific Year (6) πŸš€ Conference Pioneer

Conferences

CVPR (9) ICCV (8) ICLR (8) ICML (7) ECCV (4) NIPS (4) WACV (3) CORL (1) EMNLP (1) UAI (1)

Top co-authors

Raquel Urtasun (20) Jiaya Jia (10) Richard Zemel (9) Sanja Fidler (6) Leonid Sigal (4) Muchen Li (4) Yuwen Xiong (4) Lisa Zhang (3) Xiaojuan Qi (3) Mengye Ren (3)

Keywords

convolutional neural network (6) semantic segmentation (5) graph neural network (4) instance segmentation (4) generative model (3) object detection (3) mask r-cnn (2) latent variable model (2) active contour (2) variational inference (2) image segmentation (2) image reconstruction (2) recurrent neural network (2) trajectory prediction (2) representation learning (2) motion forecasting (2) feature learning (2) knowledge distillation (2) message passing (2) building segmentation (2)

Papers

LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. CVPR 2025
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation ICML 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups ICLR 2025
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts EMNLP 2025
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation CVPR 2025
Self-Supervised Relation Alignment for Scene Graph Generation WACV 2024
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing CVPR 2024
Memorization Capacity of Multi-Head Attention in Transformers ICLR 2024
Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024
Scaling Forward Gradient With Local Losses ICLR 2023
VLC-BERT: Visual Question Answering With Contextualized Commonsense Knowledge WACV 2023
NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds WACV 2023
Specformer: Spectral Graph Neural Networks Meet Transformers ICLR 2023
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving ICCV 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ICLR 2021
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021
DSDNet: Deep Structured self-Driving Network ECCV 2020
Learning Lane Graph Representations for Motion Forecasting ECCV 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting ECCV 2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction ECCV 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020
DARNet: Deep Active Ray Network for Building Segmentation CVPR 2019
Incremental Few-Shot Learning with Attention Attractor Networks NIPS 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks ICLR 2019
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation ICCV 2019
Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction CORL 2019
Lorentzian Distance Learning for Hyperbolic Representations ICML 2019
UPSNet: A Unified Panoptic Segmentation Network CVPR 2019
Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018
Neural Guided Constraint Logic Programming for Program Synthesis NIPS 2018
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation CVPR 2018
Learning Deep Structured Active Contours End-to-End CVPR 2018
NerveNet: Learning Structured Policy with Graph Neural Networks ICLR 2018
Reviving and Improving Recurrent Back-Propagation ICML 2018
Situation Recognition With Graph Neural Networks ICCV 2017
3D Graph Neural Networks for RGBD Semantic Segmentation ICCV 2017
Detail-Revealing Deep Video Super-Resolution ICCV 2017
Learning Deep Parsimonious Representations NIPS 2016
Deep Edge-Aware Filters ICML 2015
Semantic Segmentation With Object Clique Potential ICCV 2015
Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015
Handling Motion Blur in Multi-Frame Super-Resolution CVPR 2015
Learning Important Spatial Pooling Regions for Scene Classification CVPR 2014
CoDeL: A Human Co-detection and Labeling Framework ICCV 2013