Chun-Fu (Richard) Chen
10 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (58)
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Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Analysis
(5)
Application Areas
(4)
Architectures
(4)
Learning Paradigms
(4)
Processing
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Optimization & Theory
(2)
Techniques
(2)
Keywords
video recognition
(2)
transfer learning
(2)
multi-scale feature
(2)
knowledge distillation
(2)
efficient computing
(2)
convolutional neural network
(2)
computational efficiency
(2)
few-shot learning
(1)
vision transformer
(1)
image classification
(1)
object recognition
(1)
domain adaptation
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
multimodal learning
(1)
image segmentation
(1)
neural machine translation
(1)
speech recognition
(1)
autoregressive transformer
(1)
machine translation
(1)
Papers
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data
CVPR 2022
VALHALLA: Visual Hallucination for Machine Translation
CVPR 2022
A Broad Study on the Transferability of Visual Representations With Contrastive Learning
ICCV 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
ICCV 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
ICCV 2021
Detector-Free Weakly Supervised Grounding by Separation
ICCV 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
NeurIPS 2021
Dynamic Network Quantization for Efficient Video Inference
ICCV 2021
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
ICLR 2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
NeurIPS 2019