Trung Pham
8 papers · 2017–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(3)
Deep Learning
(3)
Machine Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications Β· Natural Language Processing
(2)
Learning Types
(2)
Analysis
(1)
Applications Β· Computer Vision
(1)
Architectures
(1)
Core Methods
(1)
Domain-Specific
(1)
Keywords
data augmentation
(2)
bayesian inference
(1)
object detection
(1)
visual question answering
(1)
attention mechanism
(1)
question answering
(1)
multimodal learning
(1)
expectation maximization
(1)
autonomous driving
(1)
video understanding
(1)
bird's eye view
(1)
deep learning
(1)
differentiable programming
(1)
knowledge graph
(1)
loss function
(1)
influence function
(1)
generative adversarial network
(1)
differentiable optimization
(1)
validation loss
(1)
retrieval-augmented generation
(1)
Papers
HiGraAgent: Dual-Agent Adaptive Reasoning over Hierarchical Knowledge Graph for Open Domain Multi-hop Question Answering
EACL 2026
Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes
AAAI 2026
NVAutoNet: Fast and Accurate 360deg 3D Visual Perception for Self Driving
WACV 2024
Learning Augmentation Network via Influence Functions
CVPR 2020
Modality Shifting Attention Network for Multi-Modal Video Question Answering
CVPR 2020
Bayesian Semantic Instance Segmentation in Open Set World
ECCV 2018
Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields
ECCV 2018
A Bayesian Data Augmentation Approach for Learning Deep Models
NeurIPS 2017