no code implementations • ECCV 2020 • Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui
To facilitate the future prediction ability, we follow three key observations: 1) object motion trajectory is affected significantly by camera motion; 2) the past trajectory of an object can act as a salient cue to estimate the object motion in the spatial domain; 3) previous frames contain the surroundings and appearance of the target object, which is useful for predicting the target object’s future locations.
no code implementations • 4 Jul 2023 • Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Chao Du, Tianyu Pang, Ruoteng Li, Henghui Ding, Ngai-Man Cheung
However, a major limitation of existing methods is that their knowledge preserving criteria consider only source domain/task and fail to consider target domain/adaptation in selecting source knowledge, casting doubt on their suitability for setups of different proximity between source and target domain.
1 code implementation • 27 Nov 2022 • Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan
To further enforce the reflectance layer to be independent of shadows and specularities in the second-stage refinement, we introduce an S-Aware network that distinguishes the reflectance image from the input image.
no code implementations • 15 Oct 2020 • YuAn Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui
Our trajectory prediction module predicts the target object's locations in the current and future frames based on the object's past trajectory.
no code implementations • CVPR 2020 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
In this paper, we propose a method that can handle multiple bad weather degradations: rain, fog, snow and adherent raindrops using a single network.
no code implementations • 18 Apr 2020 • Ruoteng Li, Xiaoyi Zhang, ShaoDi You, Yu Li
We select a large number of high-quality frames of real outdoor scenes and render haze on them using depth from stereo.
no code implementations • 8 Dec 2019 • Yingda Yin, Qingnan Fan, Dong-Dong Chen, Yujie Wang, Angelica Aviles-Rivero, Ruoteng Li, Carola-Bibiane Schnlieb, Baoquan Chen
Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass.
no code implementations • ICCV 2019 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong, Angelica I. Aviles-Rivero, Qingnan Fan, Carola-Bibiane Schonlieb
We introduce a feature multiplier in our network that transforms the features of an image affected by the rain veiling effect into features that are less affected by it, which we call veiling-invariant features.
no code implementations • 23 Jul 2019 • Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
The task of classifying X-ray data is a problem of both theoretical and clinical interest.
no code implementations • 20 Jun 2019 • Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Samar M Alsaleh, Robby T Tan, Carola-Bibiane Schönlieb
Semi-supervised classification is a great focus of interest, as in real-world scenarios obtaining labels is expensive, time-consuming and might require expert knowledge.
1 code implementation • CVPR 2019 • Ruoteng Li, Loong-Fah Cheong, Robby T. Tan
This filtering is guided by a rain-free residue image --- its content is used to set the passbands for the two channels in a spatially-variant manner so that the background details do not get mixed up with the rain-streaks.
no code implementations • ECCV 2018 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
Optical flow estimation in rainy scenes is challenging due to degradation caused by rain streaks and rain accumulation, where the latter refers to the poor visibility of remote scenes due to intense rainfall.
no code implementations • 19 Dec 2017 • Ruoteng Li, Loong-Fah Cheong, Robby T. Tan
Given a single input rainy image, our goal is to visually remove rain streaks and the veiling effect caused by scattering and transmission of rain streaks and rain droplets.
no code implementations • 18 Apr 2017 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
To handle rain accumulation, our method decomposes the image into a piecewise-smooth background layer and a high-frequency detail layer.