Yuting Zhang
18 papers · 2014–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (11) π£ Hot Topic Early Bird
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(45)
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Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
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Century Club
(16)
ποΈ
Keyword Collector
(87)
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Trend Setter
π₯
Unstoppable
(5)
Conferences
CVPR (7)
ICCV (3)
ICML (2)
AAAI (1)
ACL (1)
ECCV (1)
IJCAI (1)
MIDL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
convolutional neural network
(3)
object detection
(3)
image generation
(2)
unsupervised learning
(2)
representation learning
(2)
semi-supervised learning
(2)
neural network
(2)
deep convolutional network
(2)
multimodal learning
(2)
semantic segmentation
(1)
feature extraction
(1)
manifold learning
(1)
structured prediction
(1)
compressive sensing
(1)
zero-shot learning
(1)
temporal modeling
(1)
sparse recovery
(1)
hierarchical classification
(1)
self-supervised learning
(1)
object recognition
(1)
Papers
CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care Support
MIDL 2026
Agent-based Substructure Counting under Local Differential Privacy
ACL 2026
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
CVPR 2025
RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement
ICCV 2025
DocTr: Document Transformer for Structured Information Extraction in Documents
ICCV 2023
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation
CVPR 2023
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries
ICCV 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
CVPR 2021
Dynamically Grown Generative Adversarial Networks
AAAI 2021
Visual Question Answering on Image Sets
ECCV 2020
Unsupervised Discovery of Object Landmarks as Structural Representations
CVPR 2018
Hierarchical Novelty Detection for Visual Object Recognition
CVPR 2018
Towards Understanding the Invertibility of Convolutional Neural Networks
IJCAI 2017
Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries
CVPR 2017
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
ICML 2016
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
CVPR 2015
Deep Visual Analogy-Making
NIPS 2015
Learning to Disentangle Factors of Variation with Manifold Interaction
ICML 2014