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Renjie Liao

Recent publications

Incremental Few-Shot Learning with Attention Attractor Networks

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Efficient Graph Generation with Graph Recurrent Attention Networks

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Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

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DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

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UPSNet: A Unified Panoptic Segmentation Network

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DARNet: Deep Active Ray Network for Building Segmentation

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Lorentzian Distance Learning for Hyperbolic Representations

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LanczosNet: Multi-Scale Deep Graph Convolutional Networks

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Neural Guided Constraint Logic Programming for Program Synthesis

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Incremental Few-Shot Learning with Attention Attractor Networks

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GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

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Learning Deep Structured Active Contours End-to-End

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Reviving and Improving Recurrent Back-Propagation

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Inference in Probabilistic Graphical Models by Graph Neural Networks

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Leveraging Constraint Logic Programming for Neural Guided Program Synthesis

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Graph Partition Neural Networks for Semi-Supervised Classification

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NerveNet: Learning Structured Policy with Graph Neural Networks

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Understanding Short-Horizon Bias in Stochastic Meta-Optimization

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Situation Recognition with Graph Neural Networks

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3D Graph Neural Networks for RGBD Semantic Segmentation

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Detail-Revealing Deep Video Super-Resolution

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Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes

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