Xiaopeng Zhang

Orcid: 0000-0001-6337-5748

Affiliations:
  • National University of Singapore, Singapore
  • Shanghai Jiao Tong University, Shanghai, China (PhD 2017)


According to our database1, Xiaopeng Zhang authored at least 78 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting.
CoRR, 2024

2023
GAIA-Universe: Everything is Super-Netify.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Semi-Supervised Contrastive Learning With Similarity Co-Calibration.
IEEE Trans. Multim., 2023

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views.
CoRR, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
CoRR, 2023

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.
CoRR, 2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models.
CoRR, 2023

ControlVideo: Training-free Controllable Text-to-Video Generation.
CoRR, 2023

Segment Anything in 3D with NeRFs.
CoRR, 2023

Multi-modal Prompting for Low-Shot Temporal Action Localization.
CoRR, 2023

R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios.
CoRR, 2023

Rethinking Visual Prompt Learning as Masked Visual Token Modeling.
CoRR, 2023

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The KFIoU Loss for Rotated Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Recognition by Request.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
IEEE Trans. Multim., 2022

Answer Again: Improving VQA With Cascaded-Answering Model.
IEEE Trans. Knowl. Data Eng., 2022

Feature Calibration Network for Occluded Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap.
ACM Comput. Surv., 2022

Integrally Pre-Trained Transformer Pyramid Networks.
CoRR, 2022

Motion-inductive Self-supervised Object Discovery in Videos.
CoRR, 2022

Masked Autoencoders are Robust Data Augmentors.
CoRR, 2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers.
CoRR, 2022

Weakly Supervised Region-Level Contrastive Learning for Efficient Object Detection.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Bag of Instances Aggregation Boosts Self-supervised Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Active Pointly-Supervised Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration.
Proceedings of the Computer Vision - ECCV 2022, 2022

SdAE: Self-distillated Masked Autoencoder.
Proceedings of the Computer Vision - ECCV 2022, 2022

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

One-bit Active Query with Contrastive Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

NeuSample: Neural Sample Field for Efficient View Synthesis.
CoRR, 2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning.
CoRR, 2021

Bag of Instances Aggregation Boosts Self-supervised Learning.
CoRR, 2021

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation.
CoRR, 2021

What Is Considered Complete for Visual Recognition?
CoRR, 2021

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss.
Proceedings of the 38th International Conference on Machine Learning, 2021

Center-wise Local Image Mixture For Contrastive Representation Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network.
IEEE Trans. Image Process., 2020

Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis.
IEEE Trans. Circuits Syst. Video Technol., 2020

Hierarchical Semantic Aggregation for Contrastive Representation Learning.
CoRR, 2020

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
CoRR, 2020

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
CoRR, 2020

Center-wise Local Image Mixture For Contrastive Representation Learning.
CoRR, 2020

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks.
CoRR, 2020

Distilling Object Detectors with Task Adaptive Regularization.
CoRR, 2020

Latency-Aware Differentiable Neural Architecture Search.
CoRR, 2020

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Circumventing Outliers of AutoAugment with Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Central Similarity Quantization for Efficient Image and Video Retrieval.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Weak to Strong Detector Learning for Simultaneous Classification and Localization.
IEEE Trans. Circuits Syst. Video Technol., 2019

Central Similarity Hashing via Hadamard matrix.
CoRR, 2019

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.
CoRR, 2019

Few-Shot Adaptive Faster R-CNN.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distilling Object Detectors With Fine-Grained Feature Imitation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Localize Objects with Noisy Labeled Instances.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
ML-LocNet: Improving Object Localization with Multi-view Learning Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

Zigzag Learning for Weakly Supervised Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Picking Neural Activations for Fine-Grained Recognition.
IEEE Trans. Multim., 2017

Ensemble of Part Detectors for Simultaneous Classification and Localization.
CoRR, 2017

Webly-supervised visual concept learning with cardinality guided instance mining and clustered multitask refinement.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016
Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization.
IEEE Trans. Image Process., 2016

Picking Deep Filter Responses for Fine-Grained Image Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Spatio-temporal coherence for 3-D view synthesis with curve-based disparity warping.
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014

Fused one-vs-all mid-level features for fine-grained visual categorization.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Multiscale Edge Coding and Adaptive Lifting for Depth Maps Coding in 3-D Video.
Proceedings of the Data Compression Conference, 2014

2013
Illumination compensation via low rank matrix completion for multiview video coding.
Proceedings of the IEEE International Conference on Image Processing, 2013

A scalable depth coding with arc breakpoints based synthesis in 3-D video.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013

2010
A new electroplating mask for deep wet etching on glass.
Proceedings of the 5th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2010


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