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…