21 citations · 35 across the 11 of their papers we have counts for
11 papers
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose Estimation
Jingjia Shi, Shuaifeng Zhi, Kai Xu
The challenging task of 3D planar reconstruction from images involves several sub-tasks including frame-wise plane detection, segmentation, parameter regression and possibly depth…
DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment
Shentong Mo, Jing Shi, Yapeng Tian
Text-to-audio (TTA) generation is a recent popular problem that aims to synthesize general audio given text descriptions. Previous methods utilized latent diffusion models to learn…
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
Jing Shi, Wei Xiong, Zhe Lin +1
Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images. However, existing personalization approaches u…
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun, Zhang Liu, Lianggong Wen +2
Video anomaly detection aims to identify abnormal events that occurred in videos. Since anomalous events are relatively rare, it is not feasible to collect a balanced dataset and t…
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
Jing Shi, Ning Xu, Haitian Zheng +3
Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have shown great knowledge transfer and generalization capability on various downstream tasks within their domains. I…
Learning to Generate Scene Graph from Natural Language Supervision
Yiwu Zhong, Jing Shi, Jianwei Yang +2
Learning from image-text data has demonstrated recent success for many recognition tasks, yet is currently limited to visual features or individual visual concepts such as objects.…
Learning by Planning: Language-Guided Global Image Editing
Jing Shi, Ning Xu, Yihang Xu +3
Recently, language-guided global image editing draws increasing attention with growing application potentials. However, previous GAN-based methods are not only confined to domain-s…
A Benchmark and Baseline for Language-Driven Image Editing
Jing Shi, Ning Xu, Trung Bui +3
Language-driven image editing can significantly save the laborious image editing work and be friendly to the photography novice. However, most similar work can only deal with a spe…
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences
Jing Shi, Jing Bi, Yingru Liu +1
The marriage of recurrent neural networks and neural ordinary differential networks (ODE-RNN) is effective in modeling irregularly-observed sequences. While ODE produces the smooth…
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng +30
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020…
GAN-EM: GAN based EM learning framework
Wentian Zhao, Shaojie Wang, Zhihuai Xie +2
Expectation maximization (EM) algorithm is to find maximum likelihood solution for models having latent variables. A typical example is Gaussian Mixture Model (GMM) which requires…