Sucheng Ren
26 papers · 2020–2026 · 6 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 (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
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Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(98)
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(18)
Machine Learning
(17)
Architectures
(13)
Computer Vision
(10)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(9)
Application Areas
(8)
Core AI Β· Artificial Intelligence
(7)
Learning Types Β· Deep Learning
(7)
Techniques
(7)
Analysis
(5)
Core Methods
(5)
Generation
(4)
Models
(3)
Core AI Β· Computer Vision
(2)
Keywords
vision transformer
(7)
image classification
(4)
representation learning
(4)
knowledge distillation
(4)
self-supervised learning
(4)
semantic segmentation
(3)
state space model
(3)
flow matching
(3)
teacher-student network
(2)
contrastive learning
(2)
diffusion model
(2)
image generation
(2)
masked image modeling
(2)
vision mamba
(2)
feature learning
(2)
object detection
(2)
model compression
(2)
visual representation
(2)
multimodal learning
(2)
video object segmentation
(2)
Papers
Frequency-Aware Flow Matching for High-Quality Image Generation
CVPR 2026
LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling
WACV 2026
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
CVPR 2025
Autoregressive Pretraining with Mamba in Vision
ICLR 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
ICCV 2025
DeepMIM: Deep Supervision for Masked Image Modeling
WACV 2025
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
ICML 2025
Mamba-Reg: Vision Mamba Also Needs Registers
CVPR 2025
What If We Recaption Billions of Web Images with LLaMA-3?
ICML 2025
Glance To Count: Learning To Rank With Anchors for Weakly-Supervised Crowd Counting
WACV 2024
Rejuvenating image-GPT as Strong Visual Representation Learners
ICML 2024
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
ICLR 2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
ICCV 2023
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
ICLR 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models
CVPR 2023
A Simple Data Mixing Prior for Improving Self-Supervised Learning
CVPR 2022
Co-Advise: Cross Inductive Bias Distillation
CVPR 2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
ECCV 2022
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion
ECCV 2022
Shunted Self-Attention via Multi-Scale Token Aggregation
CVPR 2022
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation
CVPR 2021
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading
CVPR 2021
Multimodal Knowledge Expansion
ICCV 2021
On Feature Decorrelation in Self-Supervised Learning
ICCV 2021
Reciprocal Transformations for Unsupervised Video Object Segmentation
CVPR 2021
TENet: Triple Excitation Network for Video Salient Object Detection
ECCV 2020