Mengchen Liu
22 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (35) π Interdisciplinary Bridge π Academic Marathon (8) π Conference Polyglot (7) π§ Keyword Pioneer
π
Academic Marathon
(8)
πΊοΈ
Taxonomy Completionist
(35)
π€
Dynamic Duo
(21)
π₯
Unstoppable
(6)
π
Century Club
(22)
ποΈ
Keyword Collector
(80)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
CVPR (8)
ECCV (5)
ICCV (3)
ICLR (2)
NIPS (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
object detection
(4)
efficient computing
(3)
knowledge distillation
(3)
vision transformer
(3)
attention mechanism
(3)
image classification
(2)
parameter efficiency
(2)
video transformer
(2)
self-supervised learning
(2)
model architecture
(2)
model compression
(2)
convolutional neural network
(2)
video classification
(1)
hyperparameter optimization
(1)
temporal dynamics
(1)
self-attention mechanism
(1)
bayesian inference
(1)
feature extraction
(1)
semi-supervised learning
(1)
weakly supervised learning
(1)
Papers
Exploring Invariance in Images through One-way Wave Equations
ICML 2025
Fully Authentic Visual Question Answering Dataset from Online Communities
ECCV 2024
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
ICCV 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
ICLR 2023
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
CVPR 2023
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
CVPR 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
NIPS 2023
BEVT: BERT Pretraining of Video Transformers
CVPR 2022
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
ECCV 2022
Should All Proposals Be Treated Equally in Object Detection?
ECCV 2022
Mobile-Former: Bridging MobileNet and Transformer
CVPR 2022
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
CVPR 2022
MiniViT: Compressing Vision Transformers With Weight Multiplexing
CVPR 2022
CvT: Introducing Convolutions to Vision Transformers
ICCV 2021
MicroNet: Improving Image Recognition With Extremely Low FLOPs
ICCV 2021
Revisiting Dynamic Convolution via Matrix Decomposition
ICLR 2021
Stronger NAS with Weaker Predictors
NIPS 2021
Dynamic Head: Unifying Object Detection Heads With Attentions
CVPR 2021
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
ECCV 2020
Dynamic Convolution: Attention Over Convolution Kernels
CVPR 2020
Dynamic ReLU
ECCV 2020
Improving Learning-from-Crowds through Expert Validation
IJCAI 2017