Taojiannan Yang
15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (9)
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Academic Marathon
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Taxonomy Completionist
(34)
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Cross-Pollinator
(9)
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Dynamic Duo
(13)
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Unstoppable
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Keyword Collector
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Century Club
(15)
Conferences
CVPR (4)
WACV (3)
ECCV (2)
ICCV (2)
NIPS (2)
AUTOML (1)
ICLR (1)
Top co-authors
Keywords
video understanding
(4)
human pose estimation
(2)
metric learning
(2)
representation learning
(1)
domain adaptation
(1)
vision transformer
(1)
zero-shot learning
(1)
action recognition
(1)
temporal modeling
(1)
transfer learning
(1)
data augmentation
(1)
local learning
(1)
video segmentation
(1)
image retrieval
(1)
object detection
(1)
few-shot learning
(1)
multimodal learning
(1)
feature matching
(1)
image classification
(1)
federated learning
(1)
Papers
Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level
CVPR 2025
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
AUTOML 2024
Dense Connector for MLLMs
NIPS 2024
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
ECCV 2024
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
CVPR 2023
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
ICCV 2023
AIM: Adapting Image Models for Efficient Video Action Recognition
ICLR 2023
Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method
WACV 2023
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
CVPR 2022
Towards Resolving the Challenge of Long-Tail Distribution in UAV Images for Object Detection
WACV 2021
VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval
CVPR 2021
3D Human Pose Estimation With Spatial and Temporal Transformers
ICCV 2021
Revisiting Street-to-Aerial View Image Geo-Localization and Orientation Estimation
WACV 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
ECCV 2020
GradAug: A New Regularization Method for Deep Neural Networks
NIPS 2020