Mengchen Liu
22 papers · 2017–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(21)
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(92)
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(12)
Application Areas
(8)
Architectures
(8)
Techniques
(8)
Computer Vision
(7)
Analysis
(5)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Optimization & Theory
(3)
Processing
(3)
Artificial Intelligence
(2)
Core AI Β· Computer Vision
(2)
Core AI Β· Artificial Intelligence
(2)
Keywords
object detection
(4)
self-supervised learning
(3)
efficient computing
(3)
convolutional neural network
(3)
attention mechanism
(3)
vision transformer
(3)
knowledge distillation
(3)
parameter efficiency
(3)
dynamic convolution
(2)
video transformer
(2)
model compression
(2)
image classification
(2)
model architecture
(2)
temporal dynamics
(1)
bayesian inference
(1)
semi-supervised learning
(1)
feature extraction
(1)
image restoration
(1)
zero-shot learning
(1)
representation 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
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
CVPR 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
ICLR 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
NeurIPS 2023
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
CVPR 2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
ICCV 2023
BEVT: BERT Pretraining of Video Transformers
CVPR 2022
MiniViT: Compressing Vision Transformers With Weight Multiplexing
CVPR 2022
Mobile-Former: Bridging MobileNet and Transformer
CVPR 2022
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
CVPR 2022
Should All Proposals Be Treated Equally in Object Detection?
ECCV 2022
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
ECCV 2022
CvT: Introducing Convolutions to Vision Transformers
ICCV 2021
Dynamic Head: Unifying Object Detection Heads With Attentions
CVPR 2021
MicroNet: Improving Image Recognition With Extremely Low FLOPs
ICCV 2021
Revisiting Dynamic Convolution via Matrix Decomposition
ICLR 2021
Stronger NAS with Weaker Predictors
NeurIPS 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