Search Results for author: Feng Lin

Found 40 papers, 11 papers with code

Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery

no code implementations21 May 2024 Hongsheng Wang, Weiyue Zhang, Sihao Liu, Xinrui Zhou, Jing Li, Zhanyun Tang, Shengyu Zhang, Fei Wu, Feng Lin

Although 3D Gaussian Splatting (3DGS) has recently made progress in 3D human reconstruction, it primarily relies on 2D pixel-level supervision, overlooking the geometric complexity and topological relationships of different body parts.

3D Human Reconstruction

NieR: Normal-Based Lighting Scene Rendering

no code implementations21 May 2024 Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin

In real-world road scenes, diverse material properties lead to complex light reflection phenomena, making accurate color reproduction crucial for enhancing the realism and safety of simulated driving environments.

NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction

no code implementations21 May 2024 Hongsheng Wang, Nanjie Yao, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin

However, there is currently a lack of automated approaches for generating anime characters directly from these 2D designs.

SSIM

MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video

no code implementations21 May 2024 Hongsheng Wang, Xiang Cai, Xi Sun, Jinhong Yue, Zhanyun Tang, Shengyu Zhang, Feng Lin, Fei Wu

To overcome these limitations, we introduce an innovative framework, Motion-Based 3D Clo}thed Humans Synthesis (MOSS), which employs kinematic information to achieve motion-aware Gaussian split on the human surface.

When LLM-based Code Generation Meets the Software Development Process

no code implementations23 Mar 2024 Feng Lin, Dong Jae Kim, Tse-Husn, Chen

Results indicate LCGScrum outperforms other models, achieving Pass@1 scores of 75. 2, 65. 5, 82. 5, and 56. 7 in HumanEval, HumanEval-ET, MBPP, and MBPP-ET, respectively - an average 15% improvement over GPT.

Code Generation Language Modelling +1

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

1 code implementation4 Mar 2024 Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren

In this paper, we try to tackle these challenges through three designs: (1) We present a novel framework to capture broader forgery clues by extracting multiple non-overlapping local representations and fusing them into a global semantic-rich feature.

DeepFake Detection Face Swapping

CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge

no code implementations24 Feb 2024 Xiao Lin, Minghao Zhu, Ronghao Dang, Guangliang Zhou, Shaolong Shu, Feng Lin, Chengju Liu, Qijun Chen

Inspired by this motivation, we propose CLIPose, a novel 6D pose framework that employs the pre-trained vision-language model to develop better learning of object category information, which can fully leverage abundant semantic knowledge in image and text modalities.

Contrastive Learning Language Modelling +2

BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models

1 code implementation23 Jan 2024 Feng Lin, Hanling Yi, Hongbin Li, Yifan Yang, Xiaotian Yu, Guangming Lu, Rong Xiao

Large language models (LLMs) commonly employ autoregressive generation during inference, leading to high memory bandwidth demand and consequently extended latency.

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach

no code implementations3 Nov 2023 Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, Kui Ren

However, despite their promising efficiency, almost all existing machine unlearning methods handle unlearning requests independently from inference requests, which unfortunately introduces a new security issue of inference service obsolescence and a privacy vulnerability of undesirable exposure for machine unlearning in MLaaS.

Machine Unlearning

SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images

1 code implementation16 Oct 2023 Jiajia Li, Raju Thada Magar, Dong Chen, Feng Lin, Dechun Wang, Xiang Yin, Weichao Zhuang, Zhaojian Li

Soybeans are a critical source of food, protein and oil, and thus have received extensive research aimed at enhancing their yield, refining cultivation practices, and advancing soybean breeding techniques.

Coordination Control of Discrete Event Systems under Cyber Attacks

no code implementations21 Sep 2023 Fei Wang, Jan Komenda, Feng Lin

This paper investigates the coordination control of discrete event systems in the presence of combined sensor and actuator attacks.

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

1 code implementation18 Sep 2023 Kun Pan, Yin Yifang, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren

However, the accuracy of detection models degrades significantly on images generated by new deepfake methods due to the difference in data distribution.

Continual Learning Contrastive Learning +5

Learning in Dynamic Systems and Its Application to Adaptive PID Control

no code implementations21 Aug 2023 Omar Makke, Feng Lin

In order to introduce self-learning to dynamic systems other than neural networks, we extend the Brandt-Lin learning algorithm of neural networks to a large class of dynamic systems.

Self-Learning

Active Fault Isolation for Discrete Event Systems

no code implementations7 Jan 2023 Lin Cao, Shaolong Shu, Feng Lin

The method of combining two control mechanisms can be used to synthesize more powerful supervisors for other supervisory control problems of discrete event systems as well.

valid

Universal Object Detection with Large Vision Model

1 code implementation19 Dec 2022 Feng Lin, Wenze Hu, YaoWei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang

In this study, our focus is on a specific challenge: the large-scale, multi-domain universal object detection problem, which contributes to the broader goal of achieving a universal vision system.

Object object-detection +1

Intelligent Computing: The Latest Advances, Challenges and Future

no code implementations21 Nov 2022 Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan

In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.

Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples

no code implementations10 Nov 2022 Meng Chen, Li Lu, Jiadi Yu, Yingying Chen, Zhongjie Ba, Feng Lin, Kui Ren

In this paper, we propose a voice de-identification system, which uses adversarial examples to balance the privacy and utility of voice services.

De-identification Speaker Identification

Modeling and Control of Discrete Event Systems under Joint Sensor-Actuator Cyber Attacks

no code implementations27 Sep 2022 Shengbao Zheng, Shaolong Shu, Feng Lin

We define the upper-bound on all possible languages that can be generated by the supervised system to investigate the safety supervisory control problem under cyber attacks.

Convergence of a New Learning Algorithm

no code implementations8 Feb 2022 Feng Lin

A new learning algorithm proposed by Brandt and Lin for neural network [1], [2] has been shown to be mathematically equivalent to the conventional back-propagation learning algorithm, but has several advantages over the backpropagation algorithm, including feedback-network-free implementation and biological plausibility.

Hybrid 3D Beamforming Relying on Sensor-Based Training and Channel Estimation for Reconfigurable Intelligent Surface Aided TeraHertz MIMO systems

no code implementations26 Jan 2022 Xufang Wang, Zihuai Lin, Feng Lin, Lajos Hanzo, Life Fellow

Moreover, the conditions of maintaining the orthogonality of the RIS-aided THz channel are derived in support of spatial multiplexing.

Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition

no code implementations12 Oct 2021 Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim

Inspired by the recently proposed hierarchy representation of fine-grained actions in FineGym and SlowFast network for action recognition, we propose a novel multi-task network which exploits the FineGym hierarchy representation to achieve effective joint learning and prediction for fine-grained human action recognition.

Action Recognition Multi-Task Learning +1

Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning

no code implementations13 Jun 2021 Feng Lin, Weiyu Li, Qing Ling

This paper aims to solve a distributed learning problem under Byzantine attacks.

Incorporating VAD into ASR System by Multi-task Learning

no code implementations2 Mar 2021 Meng Li, Xia Yan, Feng Lin

When we use End-to-end automatic speech recognition (E2E-ASR) system for real-world applications, a voice activity detection (VAD) system is usually needed to improve the performance and to reduce the computational cost by discarding non-speech parts in the audio.

Action Detection Activity Detection +4

FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling

1 code implementation17 Dec 2020 Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen

This work presents FG-Net, a general deep learning framework for large-scale point clouds understanding without voxelizations, which achieves accurate and real-time performance with a single NVIDIA GTX 1080 GPU.

3D Part Segmentation 3D Point Cloud Classification +4

Injecting Reliable Radio Frequency Fingerprints Using Metasurface for The Internet of Things

no code implementations12 Jun 2020 Sekhar Rajendran, Zhi Sun, Feng Lin, Kui Ren

Our proposed solution, Metasurface RF-Fingerprinting Injection (MeRFFI), is to inject a carefully-designed radio frequency fingerprint into the wireless physical layer that can increase the security of a stationary IoT device with minimal overhead.

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups

no code implementations16 Nov 2019 Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi

For this reason, we should use the geodesic to characterize how an image transform along the manifold of a transformation group, and adopt its length to measure the deviation between transformations.

Representation Learning Self-Supervised Learning

WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals

no code implementations6 Oct 2018 Fei Wang, Jinsong Han, Feng Lin, Kui Ren

Wi-Fi signals-based person identification attracts increasing attention in the booming Internet-of-Things era mainly due to its pervasiveness and passiveness.

Person Identification

Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion

1 code implementation28 Jul 2018 Jiaxin Li, Yingcai Bi, Kun Li, Kangli Wang, Feng Lin, Ben M. Chen

Driven by applications like Micro Aerial Vehicles (MAVs), driver-less cars, etc, localization solution has become an active research topic in the past decade.

Robotics

Disturbance Grassmann Kernels for Subspace-Based Learning

no code implementations10 Feb 2018 Junyuan Hong, Huanhuan Chen, Feng Lin

In this paper, we focus on subspace-based learning problems, where data elements are linear subspaces instead of vectors.

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1 code implementation1 Feb 2017 Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, Ge Wang

Given the potential X-ray radiation risk to the patient, low-dose CT has attracted a considerable interest in the medical imaging field.

Decoder Lesion Detection

Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles

no code implementations13 Jan 2017 Anli Lim, Bharath Ramesh, Yue Yang, Cheng Xiang, Zhi Gao, Feng Lin

This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs).

Video Stabilization

Human Gender Classification: A Review

no code implementations17 Jul 2015 Yingxiao Wu, Yan Zhuang, Xi Long, Feng Lin, Wenyao Xu

Gender contains a wide range of information regarding to the characteristics difference between male and female.

Classification Gender Classification +1

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