Bohan Zhuang

Orcid: 0000-0002-0074-0303

According to our database1, Bohan Zhuang authored at least 72 papers between 2014 and 2024.

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Bibliography

2024
Pruning Self-Attentions Into Convolutional Layers in Single Path.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.
CoRR, 2024

Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM.
CoRR, 2024

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.
CoRR, 2024

ModaVerse: Efficiently Transforming Modalities with LLMs.
CoRR, 2024

2023
Generative Data Free Model Quantization With Knowledge Matching for Classification.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

End-to-End One-Shot Human Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Single-Path Bit Sharing for Automatic Loss-Aware Model Compression.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Efficient Stitchable Task Adaptation.
CoRR, 2023

Object-aware Inversion and Reassembly for Image Editing.
CoRR, 2023

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models.
CoRR, 2023

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models.
CoRR, 2023

SwitchGPT: Adapting Large Language Models for Non-Text Outputs.
CoRR, 2023

Stitched ViTs are Flexible Vision Backbones.
CoRR, 2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.
CoRR, 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models.
CoRR, 2023

Sensitivity-Aware Visual Parameter-Efficient Tuning.
CoRR, 2023

Mask Propagation for Efficient Video Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PTQD: Accurate Post-Training Quantization for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on Efficient Training of Transformers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

BiViT: Extremely Compressed Binary Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Stitchable Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Focus-aware Positional Queries for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Discrimination-Aware Network Pruning for Deep Model Compression.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Binary Neural Networks for Image Recognition.
Int. J. Comput. Vis., 2022

BiViT: Extremely Compressed Binary Vision Transformer.
CoRR, 2022

FocusFormer: Focusing on What We Need via Architecture Sampler.
CoRR, 2022

Fast Vision Transformers with HiLo Attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EcoFormer: Energy-Saving Attention with Linear Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Efficient Spatio-Temporal Pyramid Transformer for Action Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Automated Progressive Learning for Efficient Training of Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Less Is More: Pay Less Attention in Vision Transformers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Sharpness-aware Quantization for Deep Neural Networks.
CoRR, 2021

Mesa: A Memory-saving Training Framework for Transformers.
CoRR, 2021

Elastic Architecture Search for Diverse Tasks with Different Resources.
CoRR, 2021

Scalable Visual Transformers with Hierarchical Pooling.
CoRR, 2021

ABS: Automatic Bit Sharing for Model Compression.
CoRR, 2021

Fully Quantized Image Super-Resolution Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Vision Transformers with Hierarchical Pooling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FATNN: Fast and Accurate Ternary Neural Networks<sup>*</sup>.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AQD: Towards Accurate Quantized Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SA-BNN: State-Aware Binary Neural Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FATNN: Fast and Accurate Ternary Neural Networks.
CoRR, 2020

Role-Wise Data Augmentation for Knowledge Distillation.
CoRR, 2020

Switchable Precision Neural Networks.
CoRR, 2020

Automatic Pruning for Quantized Neural Networks.
CoRR, 2020

Generative Low-Bitwidth Data Free Quantization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Training Quantized Neural Networks With a Full-Precision Auxiliary Module.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Structured Binary Neural Networks for Image Recognition.
CoRR, 2019

Training Compact Neural Networks via Auxiliary Overparameterization.
CoRR, 2019

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs.
CoRR, 2019

Training Quantized Network with Auxiliary Gradient Module.
CoRR, 2019

Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations.
CoRR, 2018

Discrimination-aware Channel Pruning for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Effective Low-Bitwidth Convolutional Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Care about you: towards large-scale human-centric visual relationship detection.
CoRR, 2017

Towards Context-aware Interaction Recognition.
CoRR, 2017

TasselNet: Counting maize tassels in the wild via local counts regression network.
CoRR, 2017

Towards Context-Aware Interaction Recognition for Visual Relationship Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Sequential Person Recognition in Photo Albums with a Recurrent Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Visual tracking via shallow and deep collaborative model.
Neurocomputing, 2016

Fast Training of Triplet-Based Deep Binary Embedding Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Visual Tracking via Discriminative Sparse Similarity Map.
IEEE Trans. Image Process., 2014


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