Renjie Liao

Spectral Conformal Risk Control: Distribution-Free Tail Guarantees via Bayesian Quadrature CVPR 2026 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 MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation CVPR 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 Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing CVPR 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders ICML 2024 Memorization Capacity of Multi-Head Attention in Transformers ICLR 2024 Self-Supervised Relation Alignment for Scene Graph Generation WACV 2024 NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds WACV 2023 Scaling Forward Gradient With Local Losses ICLR 2023 Specformer: Spectral Graph Neural Networks Meet Transformers ICLR 2023 VLC-BERT: Visual Question Answering With Contextualized Commonsense Knowledge WACV 2023 Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ICLR 2021 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 DSDNet: Deep Structured self-Driving Network ECCV 2020 Implicit Latent Variable Model for Scene-Consistent Motion Forecasting ECCV 2020 Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020 Learning Lane Graph Representations for Motion Forecasting ECCV 2020 Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction ECCV 2020 DARNet: Deep Active Ray Network for Building Segmentation CVPR 2019 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction CoRL 2019 DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation ICCV 2019 Efficient Graph Generation with Graph Recurrent Attention Networks NeurIPS 2019 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 LanczosNet: Multi-Scale Deep Graph Convolutional Networks ICLR 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 UPSNet: A Unified Panoptic Segmentation Network CVPR 2019 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 Neural Guided Constraint Logic Programming for Program Synthesis NeurIPS 2018 Reviving and Improving Recurrent Back-Propagation ICML 2018 Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018 3D Graph Neural Networks for RGBD Semantic Segmentation ICCV 2017 Detail-Revealing Deep Video Super-Resolution ICCV 2017 Situation Recognition With Graph Neural Networks ICCV 2017 Learning Deep Parsimonious Representations NeurIPS 2016 Deep Edge-Aware Filters ICML 2015 Handling Motion Blur in Multi-Frame Super-Resolution CVPR 2015 Semantic Segmentation With Object Clique Potential ICCV 2015 Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015 Learning Important Spatial Pooling Regions for Scene Classification CVPR 2014 CoDeL: A Human Co-detection and Labeling Framework ICCV 2013