Xingyu Zeng
14 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(22)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Conference Pioneer
β
The Questioner
π
Century Club
(14)
ποΈ
Keyword Collector
(54)
Conferences
CVPR (3)
ECCV (3)
ICCV (3)
EMNLP (2)
AAAI (1)
ACL (1)
ICML (1)
Top co-authors
Keywords
deep learning
(4)
object detection
(2)
large language model
(2)
convolutional neural network
(2)
feature representation
(2)
pedestrian detection
(2)
depth estimation
(2)
3d object detection
(2)
in-context learning
(1)
hierarchical clustering
(1)
deformable convolution
(1)
text-to-image generation
(1)
causal reasoning
(1)
deep model
(1)
monte carlo tree search
(1)
autonomous driving
(1)
model averaging
(1)
occlusion handling
(1)
empirical study
(1)
computer vision
(1)
Papers
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
ACL 2025
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
ICCV 2025
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024
Gradient-based Visual Explanation for Transformer-based CLIP
ICML 2024
CLEAR: Can Language Models Really Understand Causal Graphs?
EMNLP 2024
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection
ECCV 2022
Rethinking Pseudo-LiDAR Representation
ECCV 2020
Adapting Object Detectors with Conditional Domain Normalization
ECCV 2020
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation
AAAI 2020
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
CVPR 2019
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
CVPR 2015
Learning Deep Representation With Large-Scale Attributes
ICCV 2015
Modeling Mutual Visibility Relationship in Pedestrian Detection
CVPR 2013
Multi-stage Contextual Deep Learning for Pedestrian Detection
ICCV 2013