Qijun Chen
12 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π Conference Polyglot (7) π§ Keyword Pioneer π Cross-Pollinator (7)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(43)
π
Interdisciplinary Bridge
π
Grand Slam
β‘
Prolific Year
(5)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(60)
π
Century Club
(12)
Conferences
ICCV (4)
CVPR (3)
AAAI (1)
ICLR (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
multimodal learning
(3)
causal inference
(2)
vision-and-language navigation
(2)
vision-language navigation
(2)
cross-modal learning
(2)
convolutional neural network
(2)
causal learning
(2)
object navigation
(2)
feature learning
(1)
video recognition
(1)
vision transformer
(1)
knowledge distillation
(1)
contrastive learning
(1)
transfer learning
(1)
path planning
(1)
zero-shot learning
(1)
instance segmentation
(1)
visual navigation
(1)
embodied ai
(1)
referring expression
(1)
Papers
CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation
ICCV 2025
Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
ICCV 2025
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
NIPS 2024
Vision-and-Language Navigation via Causal Learning
CVPR 2024
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
CVPR 2024
InstructDET: Diversifying Referring Object Detection with Generalized Instructions
ICLR 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
AAAI 2024
A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation
IJCAI 2023
Search for or Navigate to? Dual Adaptive Thinking for Object Navigation
ICCV 2023
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
ICML 2023
Revisiting Perspective Information for Efficient Crowd Counting
CVPR 2019
Scale Recovery for Monocular Visual Odometry Using Depth Estimated With Deep Convolutional Neural Fields
ICCV 2017