Yizeng Han
22 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(21)
⚡
Prolific Year · Prolific
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
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Research topics
Deep Learning
(13)
Machine Learning
(13)
Application Areas
(10)
Computer Vision
(9)
Analysis
(7)
Architectures
(7)
Optimization & Theory · Deep Learning
(6)
Techniques
(6)
Artificial Intelligence
(5)
Core AI · Artificial Intelligence
(4)
Core AI · Computer Vision
(3)
Core Methods
(3)
Learning Types
(3)
Optimization & Theory · Machine Learning
(3)
Models
(2)
Keywords
vision transformer
(4)
linear attention
(3)
spatial redundancy
(3)
dynamic inference
(3)
dynamic computation
(2)
efficient computing
(2)
efficient inference
(2)
visual grounding
(2)
multimodal large language model
(2)
inference efficiency
(2)
early exit
(2)
image generation
(2)
neural network optimization
(2)
computational efficiency
(2)
adaptive inference
(2)
multimodal learning
(1)
knowledge distillation
(1)
few-shot learning
(1)
attention mechanism
(1)
video recognition
(1)
Papers
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
CVPR 2025
Dynamic Diffusion Transformer
ICLR 2025
Agent Attention: On the Integration of Softmax and Linear Attention
ECCV 2024
Bridging the Divide: Reconsidering Softmax and Linear Attention
NeurIPS 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
NeurIPS 2024
Demystify Mamba in Vision: A Linear Attention Perspective
NeurIPS 2024
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
ECCV 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
NeurIPS 2024
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators
ECCV 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
NeurIPS 2024
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention
ECCV 2024
GSVA: Generalized Segmentation via Multimodal Large Language Models
CVPR 2024
Mask Grounding for Referring Image Segmentation
CVPR 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
ICML 2024
Adaptive Rotated Convolution for Rotated Object Detection
ICCV 2023
Dynamic Perceiver for Efficient Visual Recognition
ICCV 2023
FLatten Transformer: Vision Transformer using Focused Linear Attention
ICCV 2023
Latency-aware Spatial-wise Dynamic Networks
NeurIPS 2022
Learning to Weight Samples for Dynamic Early-Exiting Networks
ECCV 2022
Adaptive Focus for Efficient Video Recognition
ICCV 2021
Towards Learning Spatially Discriminative Feature Representations
ICCV 2021
Resolution Adaptive Networks for Efficient Inference
CVPR 2020