no code implementations • 18 May 2024 • Qifeng Chen, Rengan Xie, Kai Huang, Qi Wang, Wenting Zheng, Rong Li, Yuchi Huo
Recently, implicit neural representation has been widely used to generate animatable human avatars.
no code implementations • 29 Jan 2024 • Yizheng Chen, Rengan Xie, Qi Ye, Sen yang, Zixuan Xie, Tianxiao Chen, Rong Li, Yuchi Huo
Specifically, we first leverage to decouple the shading information from the generated images to reduce the impact of inconsistent lighting; then, we introduce mono prior with view-dependent transient encoding to enhance the reconstructed normal; and finally, we design a view augmentation fusion strategy that minimizes pixel-level loss in generated sparse views and semantic loss in augmented random views, resulting in view-consistent geometry and detailed textures.
no code implementations • 20 Nov 2023 • Zixuan Xie, Rengan Xie, Rong Li, Kai Huang, Pengju Qiao, Jingsen Zhu, Xu Yin, Qi Ye, Wei Hua, Yuchi Huo, Hujun Bao
In this work, we use multi-view aerial images to reconstruct the geometry, lighting, and material of facades using neural signed distance fields (SDFs).
no code implementations • 14 Sep 2023 • Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang
In this paper, we present TFNet, a range-image-based LiDAR semantic segmentation method that utilizes temporal information to address this issue.
Ranked #1 on Semantic Segmentation on SemanticPOSS
1 code implementation • ICCV 2023 • Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, Sung-Eui Yoon
To this end, we propose pixel retrieval benchmarks named PROxford and PRParis, which are based on the widely used image retrieval datasets, ROxford and RParis.
no code implementations • 22 Aug 2023 • Shijie Li, Rong Li, Juergen Gall
In this paper, we therefore propose a generator for multi-modal data that separates modal-independent information of the semantic layout from the modal-dependent information that is needed to generate an RGB and a depth image, respectively.
1 code implementation • 21 Aug 2023 • Teli Ma, Rong Li, Junwei Liang
A challenging new task is subsequently added to evaluate the robustness of GVLMs against inherent inclination toward syntactical correctness.
Ranked #83 on Visual Reasoning on Winoground
no code implementations • 5 Dec 2022 • Yourui Huangfu, Jian Wang, Shengchen Dai, Rong Li, Jun Wang, Chongwen Huang, Zhaoyang Zhang
The statistical data hinder the trained AI models from further fine-tuning for a specific scenario, and ray-tracing data with limited environments lower down the generalization capability of the trained AI models.
no code implementations • 10 Nov 2022 • Mert Kalfa, Sadik Yagiz Yetim, Arda Atalik, Mehmetcan Gok, Yiqun Ge, Rong Li, Wen Tong, Tolga Mete Duman, Orhan Arikan
Semantic signal processing and communications are poised to play a central part in developing the next generation of sensor devices and networks.
1 code implementation • 4 Oct 2022 • Rong Li, Anh-Quan Cao, Raoul de Charette
Annotation of large-scale 3D data is notoriously cumbersome and costly.
Ranked #1 on Weakly supervised Semantic Segmentation on nuScenes
no code implementations • 26 Sep 2022 • Junjia Huang, Wei Ma, Rong Li, Na Zhao, Tao Zhou
Result: The mean absolute prediction error on the testing set was 0. 273-0. 257 for spherical equivalent, ranging from 0. 189-0. 160 to 0. 596-0. 473 if we consider different lengths of historical records and different prediction durations.
no code implementations • 31 Jul 2021 • Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
The wireless network is undergoing a trend from "onnection of things" to "connection of intelligence".
1 code implementation • ICCV 2021 • Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan
In this work, we investigate a collaborative fusion scheme called perception-aware multi-sensor fusion (PMF) to exploit perceptual information from two modalities, namely, appearance information from RGB images and spatio-depth information from point clouds.
Ranked #9 on Semantic Segmentation on KITTI-360
no code implementations • 19 May 2021 • Yu Wang, Hejia Luo, Ying Chen, Jun Wang, Rong Li, Bin Wang
Next generation beyond 5G networks are expected to provide both Terabits per second data rate communication services and centimeter-level accuracy localization services in an efficient, seamless and cost-effective manner.
no code implementations • 22 Mar 2021 • Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Jun Wang
We not only verify the performance gain achieved, but also provide implementation-friend designs, i. e., a scalable neural network design for the agent and a virtual environment training framework.
no code implementations • 28 Jul 2020 • Hung-Ji Tsai, Anjali R. Nelliat, Andrei Kucharavy, Mohammad Ikbal Choudhury, Sean X. Sun, Michael C. Schatz, Rong Li
Whether aneuploid cells with diverse karyotypes have any properties in common has a been a subject of intense interest.
no code implementations • 13 Nov 2019 • Chen Xu, Jian Wang, Tianhang Yu, Chuili Kong, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate.
no code implementations • 22 Jul 2019 • Yourui Huangfu, Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Xianbin Wang, Huazi Zhang, Jun Wang
In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.
no code implementations • 15 May 2019 • Jian Wang, Chen Xu, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang
Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia.
no code implementations • 16 Apr 2019 • Lingchen Huang, Huazi Zhang, Rong Li, Yiqun Ge, Jun Wang
In this paper, we model nested polar code construction as a Markov decision process (MDP), and tackle it with advanced reinforcement learning (RL) techniques.
no code implementations • 22 Feb 2019 • Xianbin Wang, Huazi Zhang, Rong Li, Lingchen Huang, Shengchen Dai, Yourui Huangfu, Jun Wang
Specifically, before each SC decoding attempt, a long short-term memory (LSTM) network is exploited to either (i) locate the first error bit, or (ii) undo a previous `wrong' flip.
no code implementations • 14 Jan 2019 • Yourui Huangfu, Jian Wang, Rong Li, Chen Xu, Xianbin Wang, Huazi Zhang, Jun Wang
Accurate prediction of fading channel in future is essential to realize adaptive transmission and other methods that can save power and provide gains.