Bichen Wu

According to our database¹, Bichen Wu authored at least 63 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2023

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers.

[BibT_eX]

[DOI]

Haoyu Ma

Shahin Mahdizadehaghdam

CoRR, 2023

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering.

[BibT_eX]

[DOI]

CoRR, 2023

ControlRoom3D: Room Generation using Semantic Proxy Rooms.

[BibT_eX]

[DOI]

CoRR, 2023

AVID: Any-Length Video Inpainting with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

[BibT_eX]

[DOI]

CoRR, 2023

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence.

[BibT_eX]

[DOI]

CoRR, 2023

Pruning Compact ConvNets for Efficient Inference.

[BibT_eX]

[DOI]

CoRR, 2023

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

[BibT_eX]

[DOI]

Alberto L. Sangiovanni-Vincentelli

Sanjit A. Seshia

Kurt Keutzer

IEEE Trans. Neural Networks Learn. Syst., 2022

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.

[BibT_eX]

[DOI]

CoRR, 2022

3D-Aware Encoding for Style-based Neural Radiance Fields.

[BibT_eX]

[DOI]

CoRR, 2022

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Cross-Domain Adaptive Teacher for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Cross-Domain Object Detection via Adaptive Self-Training.

[BibT_eX]

[DOI]

CoRR, 2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable NAS Framework and Application to Ads CTR Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unbiased Teacher for Semi-Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.

[BibT_eX]

[DOI]

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

FP-NAS: Fast Probabilistic Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking the Self-Attention in Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge.

[BibT_eX]

[DOI]

CoRR, 2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.

[BibT_eX]

[DOI]

CoRR, 2020

Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.

[BibT_eX]

[DOI]

CoRR, 2020

SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis.

[BibT_eX]

[DOI]

CoRR, 2020

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Co-design of deep neural nets and neural net accelerators for embedded vision applications.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2019

Domain-Aware Dynamic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Deep Neural Networks.

[BibT_eX]

[DOI]

Bichen Wu

CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.

[BibT_eX]

[DOI]

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld.

[BibT_eX]

[DOI]

CoRR, 2018

A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving.

[BibT_eX]

[DOI]

Alberto L. Sangiovanni-Vincentelli

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SqueezeNext: Hardware-Aware Neural Network Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Shallow Networks for High-accuracy Road Object-detection.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

MAPP: The Berkeley Model and Algorithm Prototyping Platform.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

2014

Efficient per-element distortion contribution analysis via Harmonic Balance adjoints.

[BibT_eX]

[DOI]

Bichen Wu

Jaijeet Roychowdhury

Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 2014

2013

Time-domain segmentation based massively parallel simulation for ADCs.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Bichen Wu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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