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> Associate Professor Dahua LIN
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Professor LIN Dahua
Personal Information
Position and Department
Associate Professor
,
Department of Information Engineering
ORCiD
0000-0002-8865-7896
CUHK Research Outputs
1 of 2
DSNAS: Direct Neural Architecture Search without Parameter Retraining
(
2020
)
Sep-Stereo: Visual-Guided Stereophonic Audio Generation by Associating Source Separation
(
2020
)
Adapting Object Detectors via Selective Cross-Domain Alignment
(
2019
)
A Graph-based Framework to Bridge Movies and Synopses
(
2019
)
CARAFE: Content-Aware ReAssembly of FEatures
(
2019
)
Convolutional Sequence Generation for Skeleton-Based Action Synthesis
(
2019
)
Hybrid Task Cascade for Instance Segmentation
(
2019
)
IRLAS: Inverse Reinforcement Learning for Architecture Search
(
2019
)
Learning a Unified Classifier Incrementally via Rebalancing
(
2019
)
Learning to Cluster Faces on an Affinity Graph
(
2019
)
Learning with Identity and Uniqueness through Social Constraint
(
2019
)
Libra R-CNN: Towards Balanced Learning for Object Detection
(
2019
)
Online Hyper-parameter Learning for Auto-Augmentation Strategy
(
2019
)
Policy Continuation and Policy Evolution with Hindsight Inverse Dynamics
(
2019
)
Policy Continuation with Hindsight Inverse Dynamics
(
2019
)
POPQORN: Quantifying Robustness of Recurrent Neural Networks
(
2019
)
Recursive Visual Sound Separation Using Minus-Plus Net
(
2019
)
Region Proposal by Guided Anchoring
(
2019
)
Self-Supervised Learning via Conditional Motion Propagation
(
2019
)
Temporal Segment Networks for Action Recognition in Videos
(
2019
)
Accelerated Training for Massive Classification via Dynamic Class Selection
(
2018
)
A Neural Compositional Paradigm for Image Captioning
(
2018
)
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
(
2018
)
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries
(
2018
)
Generative Adversarial Frontal View to Bird View Synthesis
(
2018
)
Learning Globally Optimized Object Detector via Policy Gradient
(
2018
)
Lifelong Learning by Distillation and Retrospection
(
2018
)
Low-Latency Video Semantic Segmentation
(
2018
)
Move Forward and Tell: A Progressive Generator of Video Descriptions
(
2018
)
Optimizing Video Object Detection via a Scale-time Lattice
(
2018
)
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
(
2018
)
Person Search in Videos with One Portrait Through Visual and Temporal Links
(
2018
)
Pose Guided Human Video Generation
(
2018
)
Probabilistic Ensemble of Collaborative Filters
(
2018
)
PSANet: Point-wise Spatial Attention Network for Scene Parsing
(
2018
)
Recognize Actions by Disentangling Components of Dynamics
(
2018
)
Rethinking the Form of Latent States in Image Captioning
(
2018
)
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
(
2018
)
Trajectory Convolution for Action Recognition
(
2018
)
Unifying Identification and Context Learning for Person Recognition
(
2018
)
Unsupervised Feature Learning via Non-Parametric Instance Discrimination
(
2018
)
Be Your Own Prada: Fashion Synthesis with Structural Coherence
(
2017
)
Contrastive Learning for Image Captioning
(
2017
)
Detecting Visual Relationships with Deep Relational Networks
(
2017
)
Discover and Learn New Objects from Documentaries
(
2017
)
Integrating Specialized Classifiers Based on Continuous Time Markov Chain
(
2017
)
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
(
2017
)
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data
(
2017
)
Temporal Action Detection with Structured Segment Networks
(
2017
)
Towards Diverse and Natural Image Descriptions via a Conditional GAN
(
2017
)
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Last updated on 2020-19-08 at 06:31
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