Bichen Wu
23 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Deep Learning
(17)
Machine Learning
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Computer Vision
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Artificial Intelligence
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Core AI
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Generation
(7)
Models
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Optimization & Theory
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Learning Types Β· Deep Learning
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Keywords
efficient computing
(6)
diffusion model
(6)
model compression
(5)
video editing
(4)
neural architecture search
(4)
knowledge distillation
(3)
video generation
(3)
video-to-video synthesis
(2)
semantic segmentation
(2)
neural network
(2)
parameter efficiency
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domain adaptation
(2)
zero-shot learning
(2)
differentiable neural architecture search
(2)
temporal consistency
(2)
vision-language model
(2)
hardware-aware design
(2)
object detection
(1)
hyperparameter optimization
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adversarial learning
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Papers
AVID: Any-Length Video Inpainting with Diffusion Model
CVPR 2024
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
CVPR 2024
ControlRoom3D: Room Generation using Semantic Proxy Rooms
CVPR 2024
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
CVPR 2024
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
CVPR 2024
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
CVPR 2024
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
CVPR 2024
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
CVPR 2023
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
ICCV 2023
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP
CVPR 2023
Cross-Domain Adaptive Teacher for Object Detection
CVPR 2022
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
ICLR 2022
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
ECCV 2022
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI 2021
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining
CVPR 2021
FP-NAS: Fast Probabilistic Neural Architecture Search
CVPR 2021
Unbiased Teacher for Semi-Supervised Object Detection
ICLR 2021
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
ICCV 2021
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
CVPR 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
ECCV 2020
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation
CVPR 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
CVPR 2019
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
CVPR 2018