Search Results for author:
Found 8 papers, 3 papers with code
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation.
TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision
End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework.
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
To achieve simultaneous detection for both common and rare objects, we propose a novel task, called generalized few-shot 3D object detection, where we have a large amount of training data for common (base) objects, but only a few data for rare (novel) classes.
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
In this paper, we focus on these two problems and propose a Graph Matching Attention (GMA) network.
Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation
Cross-modality person re-identification is a challenging task due to large cross-modality discrepancy and intra-modality variations.
Cross-Modality Person Re-identification
Person Re-Identification
Self-Learning with Rectification Strategy for Human Parsing
For the global error, we first transform category-wise features into a high-level graph model with coarse-grained structural information, and then decouple the high-level graph to reconstruct the category features.
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
This paper proposes a fast video salient object detection model, based on a novel recurrent network architecture, named Pyramid Dilated Bidirectional ConvLSTM (PDB-ConvLSTM).
Ranked #1 on
Video Salient Object Detection
on UVSD
(using extra training data)
Improved Face Detection and Alignment using Cascade Deep Convolutional Network
Real-world face detection and alignment demand an advanced discriminative model to address challenges by pose, lighting and expression.
