activity
20202025
most citedMDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation

36 citations · 80 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2025

Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos

Jinfeng Liu, Lingtong Kong, Mi Zhou +2

We introduce Mono4DGS-HDR, the first system for reconstructing renderable 4D high dynamic range (HDR) scenes from unposed monocular low dynamic range (LDR) videos captured with alt…

cs.CV2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging

Lingtong Kong, Bo Li, Yike Xiong +3

Multi-exposure High Dynamic Range (HDR) imaging is a challenging task when facing truncated texture and complex motion. Existing deep learning-based methods have achieved great suc…

cs.CV2024

Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation

Jinfeng Liu, Lingtong Kong, Bo Li +3

Self-supervised monocular depth estimation has gathered notable interest since it can liberate training from dependency on depth annotations. In monocular video training case, rece…

cs.CV2023★ 9 cited

Dynamic Frame Interpolation in Wavelet Domain

Lingtong Kong, Boyuan Jiang, Donghao Luo +4

Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by em…

cs.CV2023★ 14 cited

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation

Jinfeng Liu, Lingtong Kong, Jie Yang +1

Depth estimation plays an important role in the robotic perception system. Self-supervised monocular paradigm has gained significant attention since it can free training from the r…

cs.CV2022★ 8 cited

Progressive Motion Context Refine Network for Efficient Video Frame Interpolation

Lingtong Kong, Jinfeng Liu, Jie Yang

Recently, flow-based frame interpolation methods have achieved great success by first modeling optical flow between target and input frames, and then building synthesis network for…