Anbang Yao
30 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(22)
Machine Learning
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Computer Vision
(12)
Application Areas
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Architectures
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Techniques
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Analysis
(9)
Optimization & Theory Β· Deep Learning
(6)
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Artificial Intelligence
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Keywords
convolutional neural network
(9)
model compression
(9)
knowledge distillation
(5)
binary neural network
(3)
image classification
(3)
object detection
(2)
feature mimicking
(2)
vision transformer
(2)
dynamic convolution
(2)
feature transform
(2)
deep neural network
(2)
neural network optimization
(2)
weight quantization
(2)
semantic segmentation
(2)
neural network
(2)
optimal transport
(1)
scene understanding
(1)
computer vision
(1)
contrastive learning
(1)
feature alignment
(1)
Papers
Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models
CVPR 2026
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
ICML 2025
KernelWarehouse: Rethinking the Design of Dynamic Convolution
ICML 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
NeurIPS 2024
Small Scale Data-Free Knowledge Distillation
CVPR 2024
3D Human Pose Lifting with Grid Convolution
AAAI 2023
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
NeurIPS 2023
Compacting Binary Neural Networks by Sparse Kernel Selection
CVPR 2023
NORM: Knowledge Distillation via N-to-One Representation Matching
ICLR 2023
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
ICML 2023
Efficient Meta-Tuning for Content-Aware Neural Video Delivery
ECCV 2022
Omni-Dimensional Dynamic Convolution
ICLR 2022
Dynamic Normalization and Relay for Video Action Recognition
NeurIPS 2021
Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks
ICCV 2021
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
ECCV 2020
Learning to Learn Parameterized Classification Networks for Scalable Input Images
ECCV 2020
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
ECCV 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition
ECCV 2020
A Closed-Form Solution to Universal Style Transfer
ICCV 2019
Deeply-Supervised Knowledge Synergy
CVPR 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
ICCV 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
ICCV 2019
Efficient Semantic Scene Completion Network with Spatial Group Convolution
ECCV 2018
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
CVPR 2018
Decoder Network Over Lightweight Reconstructed Feature for Fast Semantic Style Transfer
ICCV 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
CVPR 2017
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
CVPR 2017
RON: Reverse Connection With Objectness Prior Networks for Object Detection
CVPR 2017
Dynamic Network Surgery for Efficient DNNs
NeurIPS 2016
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
CVPR 2016