6 citations · 15 across the 11 of their papers we have counts for
9 papers · 1 filter
Depth Adaptive Efficient Visual Autoregressive Modeling
Chunliang Li, Tianze Cao, Sanyuan Zhao
Visual Autoregressive (VAR) modeling inefficiently applies a fixed computational depth to each position when generating high-resolution images. While existing methods accelerate in…
World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving
Mingliang Zhai, Cheng Li, Zengyuan Guo +7
The Multi-modal Large Language Models (MLLMs) with extensive world knowledge have revitalized autonomous driving, particularly in reasoning tasks within perceivable regions. Howeve…
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception
Chunliang Li, Wencheng Han, Junbo Yin +2
Concurrent processing of multiple autonomous driving 3D perception tasks within the same spatiotemporal scene poses a significant challenge, in particular due to the computational…
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
Yiyuan Zhang, Yuhao Kang, Zhixin Zhang +3
We introduce , a user-centric framework for video generation. Different from traditional generative approaches that operate based on user-provided images…
TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision
Yukun Zhai, Xiaoqiang Zhang, Xiameng Qin +3
End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on Regio…
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
Jiawei Liu, Xingping Dong, Sanyuan Zhao +1
Recent years have witnessed huge successes in 3D object detection to recognize common objects for autonomous driving (e.g., vehicles and pedestrians). However, most methods rely he…
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
JianJian Cao, Xiameng Qin, Sanyuan Zhao +1
Answering semantically-complicated questions according to an image is challenging in Visual Question Answering (VQA) task. Although the image can be well represented by deep learni…
Self-Learning with Rectification Strategy for Human Parsing
Tao Li, Zhiyuan Liang, Sanyuan Zhao +2
In this paper, we solve the sample shortage problem in the human parsing task. We begin with the self-learning strategy, which generates pseudo-labels for unlabeled data to retrain…
Improved Face Detection and Alignment using Cascade Deep Convolutional Network
Weilin Cong, Sanyuan Zhao, Hui Tian +1
Real-world face detection and alignment demand an advanced discriminative model to address challenges by pose, lighting and expression. Illuminated by the deep learning algorithm,…