no code implementations • ICML 2020 • Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John Gregoire, Carla Gomes
We introduce Deep Reasoning Networks (DRNets), an end-to-end framework that combines deep learning with constraint reasoning for solving pattern de-mixing problems, typically in an unsupervised or very-weakly-supervised setting.
no code implementations • 27 Dec 2023 • Di Chen, Hao Li, Zhicheng Jin, Huizhao Tu, Meixin Zhu
Autonomous vehicles (AVs) have the potential to prevent accidents caused by drivers errors and reduce road traffic risks.
1 code implementation • 13 Dec 2023 • Yanling Tian, Di Chen, Yunan Liu, Jian Yang, Shanshan Zhang
To the best of our knowledge, this is the first work that investigates how to support full-task pre-training using sub-task data.
no code implementations • 28 Nov 2023 • Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou
Existing text-to-image (T2I) diffusion models usually struggle in interpreting complex prompts, especially those with quantity, object-attribute binding, and multi-subject descriptions.
no code implementations • 24 Oct 2023 • Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang
The primary objective of this paper is to review current research efforts and provide a futuristic perspective that will benefit future developments in the field.
6 code implementations • 20 Feb 2023 • Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou
Recent large-scale generative models learned on big data are capable of synthesizing incredible images yet suffer from limited controllability.
no code implementations • 23 Sep 2022 • Yanling Tian, Di Chen, Yunan Liu, Shanshan Zhang, Jian Yang
A straightforward solution is to manually assign different weights to different tasks, compensating for the diverse convergence rates.
no code implementations • 16 Jul 2022 • Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes
This poses a challenging coarsely-supervised regression (or downscaling) task; at training time, we only have SIF labels at a coarse resolution (3km), but we want to predict SIF at much finer spatial resolutions (e. g. 30m, a 100x increase).
1 code implementation • CVPR 2022 • Andreas Döring, Di Chen, Shanshan Zhang, Bernt Schiele, Jürgen Gall
Current research evaluates person search, multi-object tracking and multi-person pose estimation as separate tasks and on different datasets although these tasks are very akin to each other and comprise similar sub-tasks, e. g. person detection or appearance-based association of detected persons.
1 code implementation • 16 Nov 2021 • Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele
Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras.
Representation Learning Video-Based Person Re-Identification
no code implementations • 21 Aug 2021 • Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes
DRNets compensate for the limited data by exploiting and magnifying the rich prior knowledge about the thermodynamic rules governing the mixtures of crystals with constraint reasoning seamlessly integrated into neural network optimization.
no code implementations • 10 Dec 2020 • Di Chen, Kengo Asada, Satoshi Sekimoto, Kozo Fujii, Hiroyuki Nishida
The D-D models generate momentarily higher body force in the positive-going phase of the AC power, but activate a smaller flow region than the S-H model with Dc = 0. 0117, which is given by the experiment beforehand at 7kV.
Fluid Dynamics Plasma Physics
no code implementations • 12 Nov 2020 • Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall
For that reason, we present PoseTrackReID, a large-scale dataset for multi-person pose tracking and video-based person re-ID.
no code implementations • 30 Oct 2020 • Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
A key problem in computational sustainability is to understand the distribution of species across landscapes over time.
no code implementations • 10 Oct 2020 • Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e. g., image classification, natural language processing, etc.
1 code implementation • CVPR 2020 • Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele
Person Search is a practically relevant task that aims to jointly solve Person Detection and Person Re-identification (re-ID).
2 code implementations • 24 Jan 2020 • Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubicek, Jiri Chmelik, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel-level by a human-machine hybrid algorithm (https://osf. io/nqjyw/, https://osf. io/t98fz/).
no code implementations • 17 Oct 2019 • Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Real-world applications often involve domain-specific and task-based performance objectives that are not captured by the standard machine learning losses, but are critical for decision making.
no code implementations • 25 Sep 2019 • Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
We introduce Deep Reasoning Networks (DRNets), an end-to-end framework that combines deep learning with reasoning for solving pattern de-mixing problems, typically in an unsupervised or weakly-supervised setting.
1 code implementation • 28 Jul 2019 • Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li
The CNN's fusion layer is tailored to the need of fusing information from the fundus and OCT streams.
no code implementations • 3 Jun 2019 • Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
At a high level, DRNets encode a structured latent space of the input data, which is constrained to adhere to prior knowledge by a reasoning module.
no code implementations • 25 Feb 2019 • Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
In this work, we consider applying machine learning to the analysis and compression of audio signals in the context of monitoring elephants in sub-Saharan Africa.
no code implementations • 5 Feb 2019 • Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
Machine learning techniques applied to software engineering tasks can be improved by hyperparameter optimization, i. e., automatic tools that find good settings for a learner's control parameters.
no code implementations • 1 Nov 2018 • Di Chen, Carla P. Gomes
Citizen science projects are successful at gathering rich datasets for various applications.
no code implementations • EMNLP 2018 • Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu
Inferring the agreement/disagreement relation in debates, especially in online debates, is one of the fundamental tasks in argumentation mining.
no code implementations • ECCV 2018 • Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Ying Tai
In this work, we tackle the problem of person search, which is a challenging task consisted of pedestrian detection and person re-identification~(re-ID).
no code implementations • ICML 2018 • Di Chen, Yexiang Xue, Carla P. Gomes
The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities.
no code implementations • 8 Feb 2018 • Chichen Fu, Di Chen, Edward J. Delp, Zoe Liu, Fengqing Zhu
There has been a growing interest in using different approaches to improve the coding efficiency of modern video codec in recent years as demand for web-based video consumption increases.
no code implementations • 15 Dec 2017 • Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
Recently, deep neural networks (DNNs) have been regarded as the state-of-the-art classification methods in a wide range of applications, especially in image classification.
no code implementations • CVPR 2018 • Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
On three challenging tasks, including Action Recognition in Videos, Image Captioning and Image Generation, BT-RNN outperforms TT-RNN and the standard RNN in terms of both prediction accuracy and convergence rate.
no code implementations • 17 Sep 2017 • Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
Multi-Entity Dependence Learning (MEDL) explores conditional correlations among multiple entities.
no code implementations • 28 Sep 2016 • Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla Gomes
Additionally, we demonstrate the benefit of using a deep neural network to extract features within the embedding and show how they improve the predictive performance of species distribution modelling.
no code implementations • 17 Feb 2016 • Di Chen, Jeff M. Phillips
A reproducing kernel can define an embedding of a data point into an infinite dimensional reproducing kernel Hilbert space (RKHS).