← Authors

Chunjing XU

53 papers · 2014–2023 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (77) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (9) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (34) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸ† Grand Slam ❓ The Questioner ⚑ Prolific Year (17) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (53) πŸ—ƒοΈ Keyword Collector (202)

Conferences

CVPR (19) NIPS (14) AAAI (6) ICCV (5) ECCV (3) ICML (3) IJCAI (2) ICLR (1)

Top co-authors

Yunhe Wang (34) Chang Xu (30) Chao Xu (14) Hang Xu (14) Hanting Chen (13) Kai Han (13) Xiaodan Liang (11) Qi Tian (10) Xinghao Chen (9) Jianhua Han (8)

Keywords

model compression (21) convolutional neural network (12) efficient computing (8) knowledge distillation (8) neural architecture search (6) object detection (6) neural network optimization (6) adder neural network (4) student network (4) autonomous driving (3) weight quantization (3) 3d object detection (3) generative adversarial network (3) neural architecture (3) energy efficiency (3) evolutionary algorithm (3) transfer learning (3) model architecture (2) multi-task learning (2) neural network quantization (2)

Papers

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