8 citations · 9 across the 5 of their papers we have counts for
6 papers · 1 filter
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Meituan LongCat Team, Bin Xiao, Chao Wang +86
The prevailing Next-Token Prediction (NTP) paradigm has driven the success of large language models through discrete autoregressive modeling. However, contemporary multimodal syste…
Learning Efficient Meshflow and Optical Flow from Event Cameras
Xinglong Luo, Ao Luo, Kunming Luo +4
In this paper, we explore the problem of event-based meshflow estimation, a novel task that involves predicting a spatially smooth sparse motion field from event cameras. To start,…
Learning Optical Flow with Adaptive Graph Reasoning
Ao Luo, Fan Yang, Kunming Luo +3
Estimating per-pixel motion between video frames, known as optical flow, is a long-standing problem in video understanding and analysis. Most contemporary optical flow techniques l…
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
Kunming Luo, Ao Luo, Chuan Wang +2
We present an unsupervised optical flow estimation method by proposing an adaptive pyramid sampling in the deep pyramid network. Specifically, in the pyramid downsampling, we propo…
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
Kunming Luo, Chuan Wang, Shuaicheng Liu +3
We present an unsupervised learning approach for optical flow estimation by improving the upsampling and learning of pyramid network. We design a self-guided upsample module to tac…
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Kunming Luo, Chuan Wang, Nianjin Ye +2
Occlusion is an inevitable and critical problem in unsupervised optical flow learning. Existing methods either treat occlusions equally as non-occluded regions or simply remove the…