no code implementations • 5 May 2024 • Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
To address this issue, we propose Invertible Residual Rescaling Models (IRRM) for image rescaling by learning a bijection between a high-resolution image and its low-resolution counterpart with a specific distribution.
no code implementations • 25 Apr 2024 • Weiqi Li, Shijie Zhao, Bin Chen, Xinhua Cheng, Junlin Li, Li Zhang, Jian Zhang
With the advent of virtual reality technology, omnidirectional image (ODI) rescaling techniques are increasingly embraced for reducing transmitted and stored file sizes while preserving high image quality.
2 code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2021 • Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
Deep quantization methods have shown high efficiency on large-scale image retrieval.
no code implementations • 28 Mar 2024 • Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu
Our framework and model introduce the following key aspects: (1) to learn real-world adaptive semantic representation for objects with diverse and complex structures under real-world scenes, we introduce extra semantic segmentation and edge detection tasks on more diverse real-world data with segmentation annotations; (2) to avoid overfitting on low-level details, we propose a module to utilize the inconsistency between learned segmentation and matting representations to regularize detail refinement; (3) we propose a novel background line detection task into our auxiliary learning framework, to suppress interference of background lines or textures.
no code implementations • 25 Mar 2024 • Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen, Jian Zhang
To enable such memory-intensive end-to-end finetuning, we propose a novel two-level invertible design to transform both (1) the multi-step sampling process and (2) the noise estimation U-Net in each step into invertible networks.
no code implementations • 10 Feb 2024 • Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng
This implies that our FedCEO can effectively recover the disrupted semantic information by smoothing the global semantic space for different privacy settings and continuous training processes.
1 code implementation • 6 Feb 2024 • Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia
Model Inversion (MI) attacks aim to disclose private information about the training data by abusing access to the pre-trained models.
no code implementations • 4 Feb 2024 • Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang
The transition from CPS-based Industry 4. 0 to CPSS-based Industry 5. 0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs).
no code implementations • 23 Jan 2024 • Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia
With different parameter settings, our method can outperform popular AE-based codecs in constrained environments in terms of both quality and decoding time, or achieve state-of-the-art reconstruction quality compared to other INR codecs.
no code implementations • 19 Jan 2024 • Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, YaoWei Wang
In this paper, we propose a Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network (MB-RACS) framework, which aims to adaptively determine the sampling rate for each image block in accordance with traditional measurement bounds theory.
no code implementations • 28 Dec 2023 • Yichong Xia, Yujun Huang, Bin Chen, Haoqian Wang, YaoWei Wang
To address this limitation, we propose a Feature-based Fast Cascade Alignment network (FFCA-Net) to fully leverage the side information on the decoder.
no code implementations • 19 Dec 2023 • Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen
This study assesses the ability of state-of-the-art large language models (LLMs) including GPT-3. 5, GPT-4, Falcon, and LLaMA 2 to identify patients with mild cognitive impairment (MCI) from discharge summaries and examines instances where the models' responses were misaligned with their reasoning.
1 code implementation • 17 Dec 2023 • Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
Specifically, to learn more compact features, a share-parameter Transformer encoder is introduced to extract point features from the global and local unmasked patches obtained by global random and local block mask strategies, followed by a specific decoder to reconstruct.
Ranked #3 on Few-Shot 3D Point Cloud Classification on ModelNet40 10-way (20-shot) (using extra training data)
1 code implementation • 12 Dec 2023 • Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu
Recently, Parameter Efficient Transfer Learning (PETL) offers an efficient alternative solution to full fine-tuning, yet still faces great challenges for pre-trained image restoration models, due to the diversity of different degradations.
no code implementations • 23 Nov 2023 • Shiyu Qin, Yimin Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia
In this paper, we propose a progressive learning paradigm for transformer-based variable-rate image compression.
no code implementations • 23 Nov 2023 • Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia
The explosion of data has resulted in more and more associated text being transmitted along with images.
no code implementations • 13 Nov 2023 • Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang
Assigning varying compression ratios to workers with distinct data distributions and volumes is thus a promising solution.
no code implementations • 17 Oct 2023 • Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
Deep neural networks have gained great success due to the increasing amounts of data, and diverse effective neural network designs.
no code implementations • 17 Oct 2023 • Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang
To alleviate two disadvantages of two categories of methods, we propose to unify the static compression and dynamic compression techniques jointly to obtain an input-adaptive compressed model, which can further better balance the total compression ratios and the model performances.
no code implementations • 16 Oct 2023 • Shuo Sun, Yuchen Zhang, Jiahuan Yan, Yuze Gao, Donovan Ong, Bin Chen, Jian Su
The success of ChatGPT has ignited an AI race, with researchers striving to develop new large language models (LLMs) that can match or surpass the language understanding and generation abilities of commercial ones.
no code implementations • 11 Oct 2023 • Jiayi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, ShengNan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai
Recent advancements in large language models (LLMs) have demonstrated remarkable abilities in handling a variety of natural language processing (NLP) downstream tasks, even on mathematical tasks requiring multi-step reasoning.
Ranked #88 on Arithmetic Reasoning on GSM8K (using extra training data)
no code implementations • 10 Oct 2023 • Zhikang Dong, Bin Chen, Xiulong Liu, Pawel Polak, Peng Zhang
The reasoning module, equipped with the power of Large Language Model (Vicuna-7B) and extended to multi-modal inputs, is able to provide reasonable explanation for the recommended music.
1 code implementation • 8 Oct 2023 • Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia
Current PRVR methods adopt scanning-based clip construction to achieve explicit clip modeling, which is information-redundant and requires a large storage overhead.
no code implementations • 13 Sep 2023 • Bin Chen, Mizuho Iwaihara
Keyphrase generation is a task of identifying a set of phrases that best repre-sent the main topics or themes of a given text.
1 code implementation • 9 Sep 2023 • Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu
Specifically, we introduce a well-designed visual tokenizer to translate the non-linguistic image into a sequence of discrete tokens like a foreign language that LLM can read.
no code implementations • 6 Sep 2023 • Bin Chen, Zhenglin Liang, Shiqian Wu
A special type of cyclic sequences named adjacency-hopping de Bruijn sequences is introduced in this paper.
1 code implementation • 26 Aug 2023 • Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang
Compressed sensing (CS) is a promising tool for reducing sampling costs.
no code implementations • 17 Aug 2023 • Bin Chen, Zhiwei Liang, Shen Li, Yi Lei, Gabriele Liga, Alex Alvarado
Multidimensional constellation shaping of up to 32 dimensions with different spectral efficiencies are compared through AWGN and fiber-optic simulations.
1 code implementation • ICCV 2023 • Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia
Federated Learning (FL) has recently emerged as a promising distributed machine learning framework to preserve clients' privacy, by allowing multiple clients to upload the gradients calculated from their local data to a central server.
1 code implementation • 9 Aug 2023 • Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
We propose an improved end-to-end Minimax optimization method for this sparse learning problem to better balance the model performance and the computation efficiency.
1 code implementation • ICCV 2023 • Bin Chen, Jia-Li Yin, Shukai Chen, Bo-Hao Chen, Ximeng Liu
Alternatively, model ensemble adversarial attacks are proposed to fuse outputs from surrogate models with diverse architectures to get an ensemble loss, making the generated adversarial example more likely to transfer to other models as it can fool multiple models concurrently.
1 code implementation • 5 Aug 2023 • Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
Current solutions for low-resolution text recognition (LTR) typically rely on a two-stage pipeline that involves super-resolution as the first stage followed by the second-stage recognition.
1 code implementation • 18 Jul 2023 • Bin Chen, Jiechong Song, Jingfen Xie, Jian Zhang
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable image reconstruction.
no code implementations • 3 Jul 2023 • Xiaoxin Zhang, Martin Brandt, Xiaoye Tong, Xiaowei Tong, Wenmin Zhang, Florian Reiner, Sizhuo Li, Feng Tian, Yuemin Yue, Weiqi Zhou, Bin Chen, Xiangming Xiao, Rasmus Fensholt
Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being.
1 code implementation • 28 Jun 2023 • Jiechong Song, Bin Chen, Jian Zhang
Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance.
no code implementations • 18 May 2023 • Taolin Zhang, Sunan He, Dai Tao, Bin Chen, Zhi Wang, Shu-Tao Xia
In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks.
3 code implementations • ICCV 2023 • Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
To conquer this limitation, we propose a novel Instance-aware Dynamic Prompt Tuning (IDPT) strategy for pre-trained point cloud models.
no code implementations • 29 Mar 2023 • Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang
In this work, the VQVAE focus on feature extraction and reconstruction of images, and the transformers fit the manifold and locate anomalies in the latent space.
no code implementations • 17 Mar 2023 • Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang
Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology.
no code implementations • 14 Feb 2023 • Zhiwei Liang, Bin Chen, Yi Lei, Gabriele Liga, Alex Alvarado
As an application of our model, we further study the effects of signal-noise interactions in long-haul transmission via the proposed model.
1 code implementation • 4 Feb 2023 • Lingyan Ruan, Mojtaba Bemana, Hans-Peter Seidel, Karol Myszkowski, Bin Chen
In this work, we propose a unified lightweight CNN network that features a large effective receptive field (ERF) and demonstrates comparable or even better performance than Transformers while bearing less computational costs.
Ranked #2 on Image Defocus Deblurring on DPD
no code implementations • ICCV 2023 • Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Hans-Peter Seidel, Christian Theobalt, Karol Myszkowski, Thomas Leimkuehler
Most in-the-wild images are stored in Low Dynamic Range (LDR) form, serving as a partial observation of the High Dynamic Range (HDR) visual world.
1 code implementation • 21 Nov 2022 • Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shutao Xia
To capture video semantic information for better hashing learning, we adopt an encoder-decoder structure to reconstruct the video from its temporal-masked frames.
1 code implementation • CVPR 2023 • Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge
Pre-training on large-scale video data has become a common recipe for learning transferable spatiotemporal representations in recent years.
no code implementations • 6 Sep 2022 • Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, YaoWei Wang, Tao Dai, Shu-Tao Xia
Specifically, MSFDPM consists of a side information feature extractor, a multi-scale feature domain patch matching module, and a multi-scale feature fusion network.
no code implementations • 26 Aug 2022 • Yi-chong Xia, Bin Chen, Yan Feng, Tian-shuo Ge
As a probabilistic modeling technique, the flow-based model has demonstrated remarkable potential in the field of lossless compression \cite{idf, idf++, lbb, ivpf, iflow},.
no code implementations • 8 Aug 2022 • Jiawei Li, Chenxi Lan, Xinyi Zhang, Bolin Jiang, Yuqiu Xie, Naiqi Li, Yan Liu, Yaowei Li, Enze Huo, Bin Chen
To make a step forward, this paper outlines an automatic annotation system called SsaA, working in a self-supervised learning manner, for continuously making the online visual inspection in the manufacturing automation scenarios.
no code implementations • 27 Jul 2022 • Weiqi Li, Bin Chen, Jian Zhang
By unfolding the proposed framework into deep neural networks, we further design a novel Dual-Domain Deep Convolutional Coding Network (D3C2-Net) for CS imaging with the capability of transmitting high-throughput feature-level image representation through all the unfolded stages.
1 code implementation • 19 Jul 2022 • Bin Chen, Jian Zhang
To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling rate allocation, fine granular scalability and high-quality reconstruction.
Ranked #1 on Image Compressed Sensing on CBSD68
no code implementations • 12 Jul 2022 • Hao liu, Bin Chen, Bo wang, Chunpeng Wu, Feng Dai, Peng Wu
To address the coupling problem, we propose a Cycle Self-Training (CST) framework for SSOD, which consists of two teachers T1 and T2, two students S1 and S2.
no code implementations • 2 Jun 2022 • Zhiwei Liang, Bin Chen, Yi Lei, Gabriele Liga, Alex Alvarado
Nonlinear interference models for dual-polarization 4D (DP-4D) modulation have only been used so far to predict signal-signal nonlinear interference.
1 code implementation • CVPR 2022 • Lingyan Ruan, Bin Chen, Jizhou Li, Miuling Lam
We first train the network on a light field-generated dataset for its highly accurate image correspondence.
Ranked #1 on Image Defocus Deblurring on RealDOF (using extra training data)
1 code implementation • 4 Mar 2022 • Bin Chen, Ran Wang, Di Ming, Xin Feng
We make vision transformers as data-efficient as convolutional neural networks by introducing multi-focal attention bias.
1 code implementation • 7 Feb 2022 • Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu
By performing Asymmetric-Quantized Contrastive Learning (AQ-CL) across views, HCQ aligns texts and videos at coarse-grained and multiple fine-grained levels.
no code implementations • 1 Jan 2022 • Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu
Resolving morphological chemical phase transformations at the nanoscale is of vital importance to many scientific and industrial applications across various disciplines.
no code implementations • 23 Dec 2021 • Bin Chen, Gabriele Liga, Yi Lei, Wei Ling, Zhengyan Huan, Xuwei Xue, Alex Alvarado
We review the design of multidimensional modulations by maximizing generalized mutual information and compare the maximum transmission reach of recently introduced 4D formats.
no code implementations • 29 Oct 2021 • Bin Chen, Wei Ling, Yunus Can Gültekin, Yi Lei, Chigo Okonkwo, Alex Alvarado
Signal shaping is vital to approach Shannon's capacity, yet it is challenging to implement at very high speeds.
no code implementations • 22 Oct 2021 • Gabriele Liga, Bin Chen, Alex Alvarado
The geometry of dual-polarization four-dimensional constellations is optimized in the optical fiber channel using a recent nonlinear interference model.
1 code implementation • 19 Oct 2021 • Jiechong Song, Bin Chen, Jian Zhang
By understanding DUNs from the perspective of the human brain's memory processing, we find there exists two issues in existing DUNs.
no code implementations • 19 Oct 2021 • Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano
High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies.
1 code implementation • 18 Sep 2021 • Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
To this end, we propose the confusing perturbations-induced backdoor attack (CIBA).
no code implementations • 11 Sep 2021 • Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang
To improve fine-grained image hashing, we propose Pyramid Hybrid Pooling Quantization (PHPQ).
1 code implementation • 11 Sep 2021 • Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
The high efficiency in computation and storage makes hashing (including binary hashing and quantization) a common strategy in large-scale retrieval systems.
no code implementations • 18 Aug 2021 • Qiang Zhao, Bin Chen, Hang Xu, Yike Ma, XiaoDong Li, Bailan Feng, Chenggang Yan, Feng Dai
In this paper, we first identify that spherical rectangles are unbiased bounding boxes for objects in spherical images, and then propose an analytical method for IoU calculation without any approximations.
1 code implementation • 15 Jul 2021 • Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma
In this paper, we propose a novel COntrollable Arbitrary-Sampling neTwork, dubbed COAST, to solve CS problems of arbitrary-sampling matrices (including unseen sampling matrices) with one single model.
no code implementations • ICML Workshop AML 2021 • Jiawang Bai, Bin Chen, Dongxian Wu, Chaoning Zhang, Shu-Tao Xia
We propose $universal \ adversarial \ head$ (UAH), which crafts adversarial query videos by prepending the original videos with a sequence of adversarial frames to perturb the normal hash codes in the Hamming space.
1 code implementation • 5 Jun 2021 • Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou
Second, the contrastive scheme only learns representations that are invariant to local perturbations and thus does not consider the global structure of the dataset, which may also be useful for downstream tasks.
no code implementations • 3 Mar 2021 • Ruizhen Hu, Bin Chen, Juzhan Xu, Oliver van Kaick, Oliver Deussen, Hui Huang
Given a set of star glyphs associated to multiple class labels, we propose to use shape context descriptors to measure the perceptual distance between pairs of glyphs, and use the derived silhouette coefficient to measure the perception of class separability within the entire set.
no code implementations • 27 Jan 2021 • Gabriele Liga, Bin Chen, Astrid Barreiro, Alex Alvarado
We assess the accuracy of a recently introduced nonlinear interference model for general dual-polarization 4D formats.~ Unlike previous models for polarization-multiplexed 2D formats, an average gap from split-step Fourier simulations within 0. 1 dB is demonstrated.
no code implementations • 14 Jan 2021 • Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou
However, universal language models may perform weakly in these fake news detection for lack of large-scale annotated data and sufficient semantic understanding of domain-specific knowledge.
no code implementations • 26 Dec 2020 • Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou
In this paper, we study the underlying mechanism of how disagreement and agreement between networks can help reduce the noise in gradients and develop a novel framework called Robust Collaborative Learning (RCL) that leverages both disagreement and agreement among networks.
no code implementations • 3 Dec 2020 • Jialiang Ma, Bin Chen
SRB learns the location and content of sampling points based on contextual information between adjacent levels.
no code implementations • 3 Sep 2020 • Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang
Using a learning-based approach, a trained network can learn and encode solution patterns to guide the solution of new problem instances instead of executing an expensive online search.
no code implementations • 22 Jun 2020 • Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicists, data providers, expert modelers, and computer/data scientists.
2 code implementations • ECCV 2020 • Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-hui Yang
In this paper, we propose a novel method, dubbed deep hashing targeted attack (DHTA), to study the targeted attack on such retrieval.
no code implementations • 28 Mar 2020 • Bin Chen, Alex Alvarado, Sjoerd van der Heide, Menno van den Hout, Hartmut Hafermann, Chigo Okonkwo
We propose a new four-dimensional orthant-symmetric 128-ary modulation format (4D-OS128) with a spectral efficiency of 7bit/4D-sym.
no code implementations • 26 Feb 2020 • Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia
Deep product quantization network (DPQN) has recently received much attention in fast image retrieval tasks due to its efficiency of encoding high-dimensional visual features especially when dealing with large-scale datasets.
no code implementations • 11 Dec 2019 • Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
GMI-based end-to-end learning is shown to be highly nonconvex.
no code implementations • 14 Dec 2018 • Bo Zhang, Bin Chen, Jin-lin Peng
Firstly, as there is a finite number of possibilities in the game, is there a quantifiable intelligence measurement for evaluating intelligent systems, e. g. AlphaZero?
no code implementations • 25 Nov 2018 • Bo Zhang, Bin Chen, Jinyu Yang, Wenjing Yang, Jiankang Zhang
Motivated by Shannon's model and recent rehabilitation of self-supervised artificial intelligence having a "World Model", this paper propose an unified intelligence-communication (UIC) model for describing a single agent and any multi-agent system.
no code implementations • 6 Aug 2018 • Bin Chen, Wei Guo, Bin Li, Rober K. F. Teng, Mingjun Dai, Jianping Luo, Hui Wang
An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG).
no code implementations • 27 Feb 2013 • Bin Chen, Jia-ju Zhang, Jian-dong Zhang, De-liang Zhong
In this paper we apply the thermodynamics method to investigate the holographic pictures for the BTZ black hole, the spacelike and the null warped black holes in three-dimensional topologically massive gravity (TMG) and new massive gravity (NMG).
High Energy Physics - Theory General Relativity and Quantum Cosmology