Wei Zhang

Affiliations:
  • Huawei Technologies, Noah's Ark Lab


According to our database1, Wei Zhang authored at least 54 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.
CoRR, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
CoRR, 2024

Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.
CoRR, 2023

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.
CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
CoRR, 2023

Topology Reasoning for Driving Scenes.
CoRR, 2023

Entity-Level Text-Guided Image Manipulation.
CoRR, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.
CoRR, 2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022

Point2Seq: Detecting 3D Objects as Sequences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Network Amplification with Efficient MACs Allocation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Compression of Generative Pre-trained Language Models via Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Greedy Network Enlarging.
CoRR, 2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.
CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.
CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.
CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Post-Training Quantization for Vision Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

C<sup>3</sup>-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Focus on Local: Detecting Lane Marker From Bottom Up via Key Point.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

BinaryBERT: Pushing the Limit of BERT Quantization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
BinaryBERT: Pushing the Limit of BERT Quantization.
CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.
CoRR, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TernaryBERT: Distillation-aware Ultra-low Bit BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.
Proceedings of the Computer Vision - ECCV 2020, 2020

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Det2Seg: A Two-Stage Approach for Road Object Segmentation from 3D Point Clouds.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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