Ran Cheng
11 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint
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Keyword Pioneer
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Trend Setter
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Keywords
vision-language pre-training
(2)
semantic segmentation
(2)
contrastive learning
(1)
multi-task learning
(1)
few-shot learning
(1)
feature extraction
(1)
knowledge distillation
(1)
action prediction
(1)
data augmentation
(1)
autonomous driving
(1)
point cloud
(1)
3d scene understanding
(1)
bird's eye view
(1)
instance segmentation
(1)
parameter sharing
(1)
object detection
(1)
language model
(1)
policy generalization
(1)
feature alignment
(1)
model compression
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Papers
CoA-VLA: Improving Vision-Language-Action Models via Visual-Text Chain-of-Affordance
ICCV 2025
Accelerating Vision-Language Pretraining With Free Language Modeling
CVPR 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives
CVPR 2023
NanoNER: Named Entity Recognition for Nanobiology Using Experts’ Knowledge and Distant Supervision
AACL 2023
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
ICML 2022
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network
CVPR 2021
End-to-End Dense Video Captioning With Parallel Decoding
ICCV 2021
FaPN: Feature-Aligned Pyramid Network for Dense Image Prediction
ICCV 2021
GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network
ICCV 2021
Revisiting Self-training for Few-shot Learning of Language Model
EMNLP 2021
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
CoRL 2020