Anbang Yao
29 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Conference Polyglot (7) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(35)
π€
Dynamic Duo
(13)
π±
Topic Pioneer
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(96)
π
Century Club
(29)
π
Conference Pioneer
π
Trend Setter
π₯
Unstoppable
(10)
β‘
Prolific Year
(5)
Conferences
CVPR (8)
ECCV (6)
ICCV (5)
NIPS (4)
ICML (3)
ICLR (2)
AAAI (1)
Top co-authors
Keywords
model compression
(8)
convolutional neural network
(8)
knowledge distillation
(4)
binary neural network
(3)
object detection
(2)
semantic segmentation
(2)
image classification
(2)
deep neural network
(2)
neural network optimization
(2)
weight quantization
(2)
feature mimicking
(2)
optimal transport
(1)
scene understanding
(1)
contrastive learning
(1)
feature alignment
(1)
computer vision
(1)
data-free learning
(1)
feature extraction
(1)
human pose estimation
(1)
person re-identification
(1)
Papers
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
ICML 2025
Small Scale Data-Free Knowledge Distillation
CVPR 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
NIPS 2024
KernelWarehouse: Rethinking the Design of Dynamic Convolution
ICML 2024
Compacting Binary Neural Networks by Sparse Kernel Selection
CVPR 2023
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
ICML 2023
NORM: Knowledge Distillation via N-to-One Representation Matching
ICLR 2023
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
NIPS 2023
3D Human Pose Lifting with Grid Convolution
AAAI 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
NIPS 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
Resolution Switchable Networks for Runtime Efficient Image Recognition
ECCV 2020
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
ECCV 2020
Learning to Learn Parameterized Classification Networks for Scalable Input Images
ECCV 2020
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
A Closed-Form Solution to Universal Style Transfer
ICCV 2019
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
CVPR 2018
Efficient Semantic Scene Completion Network with Spatial Group Convolution
ECCV 2018
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
CVPR 2017
Decoder Network Over Lightweight Reconstructed Feature for Fast Semantic Style Transfer
ICCV 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
CVPR 2017
RON: Reverse Connection With Objectness Prior Networks for Object Detection
CVPR 2017
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
CVPR 2016
Dynamic Network Surgery for Efficient DNNs
NIPS 2016