David A. Ross
12 papers · 2006–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Keyword Trendsetter Combo
(4)
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Trend Setter
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(70)
Top co-authors
Research topics
Computer Vision
(7)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Generation
(5)
Machine Learning
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Models
(3)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Architectures
(1)
Keywords
multimodal learning
(4)
visual question answering
(2)
image generation
(2)
image captioning
(2)
video understanding
(2)
action recognition
(2)
large language model
(2)
object detection
(1)
motion synthesis
(1)
multi-task learning
(1)
weakly supervised learning
(1)
hierarchical model
(1)
knowledge transfer
(1)
image compression
(1)
semantic representation
(1)
instance segmentation
(1)
text-to-image generation
(1)
classifier combination
(1)
video generation
(1)
semantic segmentation
(1)
Papers
Language-Guided Image Tokenization for Generation
CVPR 2025
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
NeurIPS 2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
NeurIPS 2023
IC3: Image Captioning by Committee Consensus
EMNLP 2023
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
CVPR 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
NeurIPS 2023
AI Choreographer: Music Conditioned 3D Dance Generation With AIST++
ICCV 2021
Pillar-based Object Detection for Autonomous Driving
ECCV 2020
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions
CVPR 2018
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
CVPR 2018
On Using Nearly-Independent Feature Families for High Precision and Confidence
ACML 2012
Learning Parts-Based Representations of Data
JMLR 2006