Junyu Gao
25 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(71)
π€
Dynamic Duo
(14)
π
Triple Crown
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(132)
π₯
Unstoppable
(7)
π
Century Club
(23)
β‘
Prolific Year
(7)
Conferences
CVPR (8)
AAAI (6)
ICCV (4)
ACL (2)
NIPS (2)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
temporal action localization
(2)
transfer learning
(2)
latent representation
(2)
graph convolutional network
(2)
curriculum learning
(2)
domain adaptation
(2)
weakly supervised learning
(2)
weakly-supervised learning
(2)
vision-language model
(2)
semi-supervised learning
(2)
evidential learning
(2)
action recognition
(2)
zero-shot learning
(2)
cross-modal learning
(2)
probabilistic modeling
(1)
temporal modeling
(1)
adversarial robustness
(1)
reinforcement learning
(1)
active learning
(1)
object detection
(1)
Papers
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
AAAI 2026
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
AAAI 2026
Unity in Diversity: Video Editing via Gradient-Latent Purification
CVPR 2025
Scale Efficient Training for Large Datasets
CVPR 2025
LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges
ACL 2025
WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code
ACL 2025
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments
ICCV 2025
Evidential Knowledge Distillation
ICCV 2025
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
AAAI 2025
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
ICML 2024
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
ICLR 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
NIPS 2024
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception
CVPR 2023
Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization
CVPR 2023
Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization
CVPR 2022
Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization
ECCV 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting
CVPR 2022
Active Universal Domain Adaptation
ICCV 2021
Fast Video Moment Retrieval
ICCV 2021
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
NIPS 2020
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
AAAI 2020
Graph Convolutional Tracking
CVPR 2019
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
AAAI 2019
Learning From Synthetic Data for Crowd Counting in the Wild
CVPR 2019