Ting Yao

68

Papers

76

Total Citations

Papers (68)

VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation

Improving Virtual Try-On with Garment-focused Diffusion Models

MotionPro: A Precise Motion Controller for Image-to-Video Generation

Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion

Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots

Denoising Token Prediction in Masked Autoregressive Models

Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition

You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images

Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization

Jointly Modeling Embedding and Translation to Bridge Video and Language

MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

Video Captioning With Transferred Semantic Attributes

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Deep Quantization: Encoding Convolutional Activations With Deep Generative Model

Memory Matching Networks for One-Shot Image Recognition

Fully Convolutional Adaptation Networks for Semantic Segmentation

Jointly Localizing and Describing Events for Dense Video Captioning

Gaussian Temporal Awareness Networks for Action Localization

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

Customizable Architecture Search for Semantic Segmentation

Learning Spatio-Temporal Representation With Local and Global Diffusion

Pointing Novel Objects in Image Captioning

Transferring and Regularizing Prediction for Semantic Segmentation

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

X-Linear Attention Networks for Image Captioning

Learning a Unified Sample Weighting Network for Object Detection

Boosting Video Representation Learning With Multi-Faceted Integration

Representing Videos As Discriminative Sub-Graphs for Action Recognition

Exploring Structure-Aware Transformer Over Interaction Proposals for Human-Object Interaction Detection

Comprehending and Ordering Semantics for Image Captioning

Stand-Alone Inter-Frame Attention in Video Models

MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing

Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space

3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention

AnchorFormer: Point Cloud Completion From Discriminative Nodes

Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization

Semantic-Conditional Diffusion Networks for Image Captioning

Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation

HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces

Modality-Agnostic Debiasing for Single Domain Generalization

PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering

Learning Query and Image Similarities With Ranking Canonical Correlation Analysis

Boosting Image Captioning With Attributes

Hierarchy Parsing for Image Captioning

Relation Distillation Networks for Video Object Detection

Condensing a Sequence to One Informative Frame for Video Recognition

Motion-Focused Contrastive Learning of Video Representations

A Style and Semantic Memory Mechanism for Domain Generalization

ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion

Learning Neural Implicit Surfaces with Object-Aware Radiance Fields

Learning to Localize Actions from Moments

SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

Dynamic Temporal Filtering In Video Models

Responsive Listening Head Generation: A Benchmark Dataset and Baseline

Learning Spatio-Temporal Representation With Pseudo-3D Residual Networks

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction

Aligning Global Semantics and Local Textures in Generative Video Enhancement

TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models

Boosting Diffusion Models with Moving Average Sampling in Frequency Domain

SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution

Joint Contrastive Learning with Infinite Possibilities

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

Out-of-Distribution Detection via Conditional Kernel Independence Model