58 citations · 80 across the 7 of their papers we have counts for
7 papers
Repurposing RGB-based Foundation Model for Depth Estimation on Thermal Images Using Hierarchical Supervision
Jie Hong, Tingtian Li, Xuesong Li +1
Depth estimation from thermal images is highly valuable for robotic applications in adverse conditions, such as nighttime and rainy weather. Recent studies have sought to transfer…
UniVid: Pyramid Diffusion Model for High Quality Video Generation
Xinyu Xiao, Binbin Yang, Tingtian Li +2
Diffusion-based text-to-video generation (T2V) or image-to-video (I2V) generation have emerged as a prominent research focus. However, there exists a challenge in integrating the t…
Unsupervised Modality-Transferable Video Highlight Detection with Representation Activation Sequence Learning
Tingtian Li, Zixun Sun, Xinyu Xiao
Identifying highlight moments of raw video materials is crucial for improving the efficiency of editing videos that are pervasive on internet platforms. However, the extensive work…
CALM: Contrastive Cross-modal Speaking Style Modeling for Expressive Text-to-Speech Synthesis
Yi Meng, Xiang Li, Zhiyong Wu +6
To further improve the speaking styles of synthesized speeches, current text-to-speech (TTS) synthesis systems commonly employ reference speeches to stylize their outputs instead o…
Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks
Tingtian Li, Yuk-Hee Chan, Daniel P. K. Lun
When imaging through a semi-reflective medium such as glass, the reflection of another scene can often be found in the captured images. It degrades the quality of the images and af…
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Tingtian Li, Zixun Sun, Haoruo Zhang +5
Recently, the witness of the rapidly growing popularity of short videos on different Internet platforms has intensified the need for a background music (BGM) retrieval system. Howe…
Group-Skeleton-Based Human Action Recognition in Complex Events
Tingtian Li, Zixun Sun, Xiao Chen
Human action recognition as an important application of computer vision has been studied for decades. Among various approaches, skeleton-based methods recently attract increasing a…