no code implementations • 27 Jan 2025 • Ziyi Zhang, Nicolas Roussel, Thomas Müller, Tizian Zeltner, Merlin Nimier-David, Fabrice Rousselle, Wenzel Jakob
Building on existing emissive volume reconstruction algorithms, we introduce a subtle yet impactful modification of the loss function requiring changes to only a few lines of code: instead of integrating the radiance field along rays and supervising the resulting images, we project the training images into the scene to directly supervise the spatio-directional radiance field.
no code implementations • 24 Dec 2024 • Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He
To address this gap, this paper aims to quantify, monitor, and analyze the AIGTs on online social media platforms.
1 code implementation • 18 Nov 2024 • Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, DaCheng Tao
Experimental results demonstrate that SDPO consistently outperforms prior methods in reward-based alignment across diverse step configurations, underscoring its robust step generalization capabilities.
no code implementations • 11 Oct 2024 • Jiaxu Wang, Jingkai Sun, Junhao He, Ziyi Zhang, Qiang Zhang, Mingyuan Sun, Renjing Xu
By integrating the strong physics priors, our methods can effectively learn the dynamics of various materials from the partial 2D observations in a unified manner.
no code implementations • 13 Sep 2024 • Ziyi Zhang, Yorie Nakahira, Guannan Qu
Policy design in non-stationary Markov Decision Processes (MDPs) is inherently challenging due to the complexities introduced by time-varying system transition and reward, which make it difficult for learners to determine the optimal actions for maximizing cumulative future rewards.
no code implementations • 2 Sep 2024 • Ziyi Zhang, Mingxuan Ouyang, WanYu Lin, Hao Lan, Lei Yang
The crux of GRAFair is the Conditional Fairness Bottleneck, where the objective is to capture the trade-off between the utility of representations and sensitive information of interest.
no code implementations • 13 Aug 2024 • Ziyi Zhang, Nicolas Roussel, Wenzel Jakob
Discontinuous visibility changes remain a major bottleneck when optimizing surfaces within a physically-based inverse renderer.
1 code implementation • 4 Jul 2024 • Jiaxu Wang, Ziyi Zhang, Junhao He, Renjing Xu
In this paper, we propose a novel framework to render high-quality images from sparse points.
1 code implementation • 14 Jun 2024 • Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Granger causality, commonly used for inferring causal structures from time series data, has been adopted in widespread applications across various fields due to its intuitive explainability and high compatibility with emerging deep neural network prediction models.
1 code implementation • 10 Jun 2024 • Shijie Lian, Ziyi Zhang, Hua Li, Wenjie Li, Laurence Tianruo Yang, Sam Kwong, Runmin Cong
Underwater salient instance segmentation is a foundational and vital step for various underwater vision tasks, which often suffer from low segmentation accuracy due to the complex underwater circumstances and the adaptive ability of models.
no code implementations • 31 May 2024 • Ziyi Zhang, Yorie Nakahira, Guannan Qu
We study the problem of learning to stabilize unknown noisy Linear Time-Invariant (LTI) systems on a single trajectory.
1 code implementation • 23 May 2024 • Jiaxu Wang, Junhao He, Ziyi Zhang, Mingyuan Sun, Jingkai Sun, Renjing Xu
Event cameras offer promising advantages such as high dynamic range and low latency, making them well-suited for challenging lighting conditions and fast-moving scenarios.
no code implementations • 14 May 2024 • Zichen Wang, Xi Deng, Ziyi Zhang, Wenzel Jakob, Steve Marschner
We present a simple algorithm for differentiable rendering of surfaces represented by Signed Distance Fields (SDF), which makes it easy to integrate rendering into gradient-based optimization pipelines.
no code implementations • 8 May 2024 • Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
In the transformative landscape of smart cities, the integration of the cutting-edge web technologies into time series forecasting presents a pivotal opportunity to enhance urban planning, sustainability, and economic growth.
no code implementations • 11 Mar 2024 • Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung Hsiang Lu
This article describes the 2023 IEEE Low-Power Computer Vision Challenge (LPCVC).
1 code implementation • 13 Feb 2024 • Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, DaCheng Tao
Then, we surprisingly discover that dormant neurons in our critic model act as a regularization against reward overoptimization while active neurons reflect primacy bias.
no code implementations • 25 Jan 2024 • Jiaxu Wang, Ziyi Zhang, Renjing Xu
Experiments show that our model can deliver better geometries, view consistencies, and rendering quality than all counterparts and benchmarks on three datasets in both generalization and finetuning settings, preliminarily proving the potential of the new paradigm for generalizable NeRF.
no code implementations • 21 May 2023 • Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, YuHan Liu, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements.
no code implementations • 16 Mar 2023 • Ning Qi, Peng Li, Lin Cheng, Ziyi Zhang, Wenrui Huang, Weiwei Yang
Energy storage (ES) and virtual energy storage (VES) are key components to realizing power system decarbonization.
no code implementations • ICCV 2023 • Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li
Confidence-wise, we propose a novel sample selection strategy based on confidence representation voting instead of the widely-used small-loss criterion.
2 code implementations • 12 Nov 2022 • Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li
We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to the source data.
Ranked #5 on
Source-Free Domain Adaptation
on VisDA-2017
1 code implementation • 22 Apr 2022 • Qun Li, Ziyi Zhang, Fu Xiao, Feng Zhang, Bir Bhanu
A high-resolution network exhibits remarkable capability in extracting multi-scale features for human pose estimation, but fails to capture long-range interactions between joints and has high computational complexity.
Ranked #30 on
Pose Estimation
on COCO test-dev
no code implementations • 24 Feb 2022 • Saurabh Agarwal, Chengpo Yan, Ziyi Zhang, Shivaram Venkataraman
Based on these insights, we develop Bagpipe, a system for training deep recommendation models that uses caching and prefetching to overlap remote embedding accesses with the computation.
no code implementations • 10 Oct 2021 • Ziyi Zhang, Samuel Micah Akai-Nettey, Adonai Addo, Chris Rogers, Jivko Sinapov
To create a common ground between the human and the learning robot, in this paper, we propose an Augmented Reality (AR) system that reveals the hidden state of the learning to the human users.