Search Results for author: Fengbo Ren

Found 19 papers, 8 papers with code

TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token Selection

no code implementations5 Nov 2023 Zifan Yu, Erfan Bank Tavakoli, Meida Chen, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren

The area of Video Camouflaged Object Detection (VCOD) presents unique challenges in the field of computer vision due to texture similarities between target objects and their surroundings, as well as irregular motion patterns caused by both objects and camera movement.

object-detection Object Detection

Frequency-domain Learning for Volumetric-based 3D Data Perception

no code implementations16 Feb 2023 Zifan Yu, Suya You, Fengbo Ren

Frequency-domain learning draws attention due to its superior tradeoff between inference accuracy and input data size.

3D Shape Classification Semantic Segmentation

TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation

no code implementations16 Feb 2023 Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren

Uncertain points are sampled from coarse semantic segmentation results of 2D image segmentation where uncertain points are located close to the object boundaries in the 2D range image representation and 3D spherical projection background points.

Image Segmentation Segmentation +1

Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach

no code implementations8 Nov 2022 Zhikang Zhang, Bruno Machado Trindade, Michael Green, Zifan Yu, Christopher Pawlowicz, Fengbo Ren

Due to the complicated nanoscale structures of current integrated circuits(IC) builds and low error tolerance of IC image segmentation tasks, most existing automated IC image segmentation approaches require human experts for visual inspection to ensure correctness, which is one of the major bottlenecks in large-scale industrial applications.

Image Classification Image Segmentation +3

Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning

no code implementations8 Nov 2022 Zhikang Zhang, Zifan Yu, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren

Motivated by the increasing application of low-resolution LiDAR recently, we target the problem of low-resolution LiDAR-camera calibration in this work.

Camera Calibration Contrastive Learning +1

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset

4 code implementations17 Mar 2022 Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman

Specifically, we introduce a synthetic aerial photogrammetry point clouds generation pipeline that takes full advantage of open geospatial data sources and off-the-shelf commercial packages.

3D Instance Segmentation 3D Semantic Segmentation

OpenICS: Open Image Compressive Sensing Toolbox and Benchmark

1 code implementation28 Feb 2021 Jonathan Zhao, Matthew Westerham, Mark Lakatos-Toth, Zhikang Zhang, Avi Moskoff, Fengbo Ren

We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade.

Benchmarking Compressive Sensing

Selective Sensing: A Data-driven Nonuniform Subsampling Approach for Computation-free On-Sensor Data Dimensionality Reduction

no code implementations1 Jan 2021 Zhikang Zhang, Kai Xu, Fengbo Ren

In this paper, we propose a selective sensing framework that adopts the novel concept of data-driven nonuniform subsampling to reduce the dimensionality of acquired signals while retaining the information of interest in a computation-free fashion.

Compressive Sensing Dimensionality Reduction +1

Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing

2 code implementations6 Dec 2020 Akshay Dua, Yixing Li, Fengbo Ren

Systolic-CNN is also run-time-flexible in the context of multi-tenancy cloud/edge computing, which can be time-shared to accelerate a variety of CNN models at run time without the need of recompiling the FPGA kernel hardware nor reprogramming the FPGA.

Edge-computing

HALO 1.0: A Hardware-agnostic Accelerator Orchestration Framework for Enabling Hardware-agnostic Programming with True Performance Portability for Heterogeneous HPC

no code implementations22 Nov 2020 Michael Riera, Erfan Bank Tavakoli, Masudul Hassan Quraishi, Fengbo Ren

This paper presents HALO 1. 0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles.

Learning in the Frequency Domain

4 code implementations CVPR 2020 Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren

Experiment results show that learning in the frequency domain with static channel selection can achieve higher accuracy than the conventional spatial downsampling approach and meanwhile further reduce the input data size.

Instance Segmentation Semantic Segmentation

Light-Weight RetinaNet for Object Detection

1 code implementation24 May 2019 Yixing Li, Fengbo Ren

On the contrary, very few studies discuss the computation and accuracy trade-off scheme for mAP-30-tier detection networks.

Object object-detection +1

LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction

1 code implementation ECCV 2018 Kai Xu, Zhikang Zhang, Fengbo Ren

We propose a scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) that enables high-fidelity, flexible and fast CS images reconstruction.

Compressive Sensing SSIM

Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning

no code implementations3 Feb 2018 Yixing Li, Fengbo Ren

Emerging solutions are adopted for the neural network compression, e. g., bina-ry/ternary weight network, pruned network and quantized network.

Neural Network Compression

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

no code implementations20 Feb 2017 Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, Fengbo Ren

For processing static data in large batch sizes, the proposed solution is on a par with a Titan X GPU in terms of throughput while delivering 9. 5x higher energy efficiency.

CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing

2 code implementations15 Dec 2016 Kai Xu, Fengbo Ren

This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS).

Compressive Sensing Video Compressive Sensing

A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing

no code implementations15 Dec 2016 Kai Xu, Yixing Li, Fengbo Ren

Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring.

Compressive Sensing

A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing

no code implementations12 Dec 2016 Zichuan Liu, Yixing Li, Fengbo Ren, Hao Yu

In this paper, we develop a binary convolutional encoder-decoder network (B-CEDNet) for natural scene text processing (NSTP).

Decoder

Cannot find the paper you are looking for? You can Submit a new open access paper.