activity
20172026
most citedGFF: Gated Fully Fusion for Semantic Segmentation

34 citations · 57 across the 8 of their papers we have counts for

collaborators

8 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.GR2025

TransGI: Real-Time Dynamic Global Illumination With Object-Centric Neural Transfer Model

Yijie Deng, Lei Han, Lu Fang

Neural rendering algorithms have revolutionized computer graphics, yet their impact on real-time rendering under arbitrary lighting conditions remains limited due to strict latency…

cs.CV2023

RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent

Yijie Deng, Lei Han, Tianpeng Lin +3

With the rise of Extended Reality (XR) technology, there is a growing need for real-time light field reconstruction from sparse view inputs. Existing methods can be classified into…

cs.CV2020★ 5 cited

OccuSeg: Occupancy-aware 3D Instance Segmentation

Lei Han, Tian Zheng, Lan Xu +1

3D instance segmentation, with a variety of applications in robotics and augmented reality, is in large demands these days. Unlike 2D images that are projective observations of the…

cs.CV2019★ 34 cited

GFF: Gated Fully Fusion for Semantic Segmentation

Xiangtai Li, Houlong Zhao, Lei Han +2

Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Net…

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.CV2017

Beyond SIFT using Binary features for Loop Closure Detection

Lei Han, Guyue Zhou, Lan Xu +1

In this paper a binary feature based Loop Closure Detection (LCD) method is proposed, which for the first time achieves higher precision-recall (PR) performance compared with state…

cs.CV2017★ 4 cited

MILD: Multi-Index hashing for Loop closure Detection

Lei Han, Lu Fang

Loop Closure Detection (LCD) has been proved to be extremely useful in global consistent visual Simultaneously Localization and Mapping (SLAM) and appearance-based robot relocaliza…