23 citations · 85 across the 12 of their papers we have counts for
12 papers
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
Navigating complex and dynamic environments requires autonomous vehicles (AVs) to reason about both visible and occluded regions. This involves predicting the future motion of obse…
Matting Anything
Jiachen Li, Jitesh Jain, Humphrey Shi
In this paper, we propose the Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and intera…
Region-Aware Portrait Retouching with Sparse Interactive Guidance
Huimin Zeng, Jie Huang, Jiacheng Li +1
Portrait retouching aims to improve the aesthetic quality of input portrait photos and especially requires human-region priority. The deep learning-based methods largely elevate th…
Deep Attention Unet: A Network Model with Global Feature Perception Ability
Jiacheng Li
Remote sensing image segmentation is a specific task of remote sensing image interpretation. A good remote sensing image segmentation algorithm can provide guidance for environment…
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
Jiacheng Li, Chang Chen, Zhen Cheng +1
The widespread usage of high-definition screens on edge devices stimulates a strong demand for efficient image restoration algorithms. The way of caching deep learning models in a…
OneFormer: One Transformer to Rule Universal Image Segmentation
Jitesh Jain, Jiachen Li, MangTik Chiu +3
Universal Image Segmentation is not a new concept. Past attempts to unify image segmentation in the last decades include scene parsing, panoptic segmentation, and, more recently, n…
Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
Jiachen Li, Menglin Wang, Xiaojin Gong
Multi-grained features extracted from convolutional neural networks (CNNs) have demonstrated their strong discrimination ability in supervised person re-identification (Re-ID) task…
VMFormer: End-to-End Video Matting with Transformer
Jiachen Li, Vidit Goel, Marianna Ohanyan +3
Video matting aims to predict the alpha mattes for each frame from a given input video sequence. Recent solutions to video matting have been dominated by deep convolutional neural…
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
Pengfei Chen, Xuehui Yu, Xumeng Han +7
Object detection using single point supervision has received increasing attention over the years. However, the performance gap between point supervised object detection (PSOD) and…
Neighborhood Attention Transformer
Ali Hassani, Steven Walton, Jiachen Li +2
We present Neighborhood Attention (NA), the first efficient and scalable sliding-window attention mechanism for vision. NA is a pixel-wise operation, localizing self attention (SA)…
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Jiacheng Li, Siliang Tang, Juncheng Li +4
Visual Storytelling~(VIST) is a task to tell a narrative story about a certain topic according to the given photo stream. The existing studies focus on designing complex models, wh…
Informative Visual Storytelling with Cross-modal Rules
Jiacheng Li, Haizhou Shi, Siliang Tang +2
Existing methods in the Visual Storytelling field often suffer from the problem of generating general descriptions, while the image contains a lot of meaningful contents remaining…