Chunjing XU

NLIP: Noise-Robust Language-Image Pre-training AAAI 2023 Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving CVPR 2023 Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark NIPS 2022 Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022 Laneformer: Object-Aware Row-Column Transformers for Lane Detection AAAI 2022 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NIPS 2022 FILIP: Fine-grained Interactive Language-Image Pre-Training ICLR 2022 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022 Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding ECCV 2022 ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation CVPR 2022 Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving NIPS 2022 An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021 S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021 Transformer in Transformer NIPS 2021 SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021 Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 Learning Student Networks in the Wild CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 Pre-Trained Image Processing Transformer CVPR 2021 Distilling Object Detectors via Decoupled Features CVPR 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 Data-Free Knowledge Distillation for Image Super-Resolution CVPR 2021 Voxel Transformer for 3D Object Detection ICCV 2021 Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution ICCV 2021 Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection ICCV 2021 Winograd Algorithm for AdderNet ICML 2021 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020 Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer ECCV 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020 Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 GhostNet: More Features From Cheap Operations CVPR 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020 Video Super-Resolution With Temporal Group Attention CVPR 2020 Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020 Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks NIPS 2020 BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation CVPR 2019 Data-Free Learning of Student Networks ICCV 2019 Deep Fitting Degree Scoring Network for Monocular 3D Object Detection CVPR 2019 Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019 Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019 Attribute Aware Pooling for Pedestrian Attribute Recognition IJCAI 2019 Positive-Unlabeled Compression on the Cloud NIPS 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019 Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018 Transitive Distance Clustering with K-Means Duality CVPR 2014