activity
20152026
most citedSurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

361 citations · 425 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Engram-E2VID: Reference-Based Event-to-Video Reconstruction via Generative Activation of Appearance Engrams

Feiyu Ji, Xiang Li, Hao Ma +6

Reference-based event-to-video reconstruction aims to recover target RGB frames from a reference frame and the event stream captured over the reference-to-target interval. Although…

cs.CV2026

DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization

Zhengxian Yang, Fei Xie, Xutao Xue +5

3D Gaussian Splatting (3DGS) has enabled efficient 3D scene reconstruction from everyday images with real-time, high-fidelity rendering, greatly advancing VR/AR applications. Fishe…

cs.CV2022

Cross-Camera Deep Colorization

Yaping Zhao, Haitian Zheng, Mengqi Ji +1

In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align and fuse images from it in an efficient and cost-e…

cs.CV2021

EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation

Yaping Zhao, Mengqi Ji, Ruqi Huang +2

In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i.e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolut…

cs.CV2020

Zoom in to the details of human-centric videos

Guanghan Li, Yaping Zhao, Mengqi Ji +2

Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time. Exi…

cs.CV2020★ 34 cited

SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis

Mengqi Ji, Jinzhi Zhang, Qionghai Dai +1

Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the observations become sparser, the significant 3D information loss makes the MVS problem more challen…

cs.LG2019★ 1 cited

SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

Dan Wang, Mengqi Ji, Yong Wang +2

To overcome the oscillation problem in the classical momentum-based optimizer, recent work associates it with the proportional-integral (PI) controller, and artificially adds D ter…

cs.CV2018★ 14 cited

RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration

Lei Han, Mengqi Ji, Lu Fang +1

Direct image-to-image alignment that relies on the optimization of photometric error metrics suffers from limited convergence range and sensitivity to lighting conditions. Deep lea…

cs.CV2018

CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping

Haitian Zheng, Mengqi Ji, Haoqian Wang +2

The Reference-based Super-resolution (RefSR) super-resolves a low-resolution (LR) image given an external high-resolution (HR) reference image, where the reference image and LR ima…

cs.CV2017★ 361 cited

SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Mengqi Ji, Juergen Gall, Haitian Zheng +2

This paper proposes an end-to-end learning framework for multiview stereopsis. We term the network SurfaceNet. It takes a set of images and their corresponding camera parameters as…

cs.RO2015★ 8 cited

Deep Learning for Surface Material Classification Using Haptic And Visual Information

Haitian Zheng, Lu Fang, Mengqi Ji +3

When a user scratches a hand-held rigid tool across an object surface, an acceleration signal can be captured, which carries relevant information about the surface. More importantl…

cs.CV2015★ 7 cited

Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation

Haitian Zheng, Yebin Liu, Mengqi Ji +2

This paper proposes a convolutional neural network that can fuse high-level prior for semantic image segmentation. Motivated by humans' vision recognition system, our key design is…