[CVPR'24 Spotlight] State Space Models for Event Cameras This is the official PyTorch implementation of the CVPR 2024 paper State Space Models for Event Cameras. 🖼️ Check Out Our Poster! 🖼️ here ✅ Updates June. 14th, 2024: Everything is updated! Poster released! Check it above...
[2024_049]State Space Models for Event Cameras, Nikola Zubić, Mathias Gehrig, Davide Scaramuzza [Paper] [2024_048][ICLR 2024] FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores, Daniel Y Fu, Hermann Kumbong, Eric Nguyen, Christopher Re [Paper] [2024_047]Variational...
Machine learning is a subset of AI that involves developing algorithms and statistical models that enable computer systems to learn from data without constantly having to be reprogrammed, explains Iu Ayala, founder and CEO of data science consultancy firmGradient Insight. These algorithms c...
…while the folks at Packard bought this center spread to give ample space to their 1935 model, which must have been a helluva thing to parallel park… …clothing companies continued use class shaming to goad aspiring toffs to purchase the “correct” attire for school… …with the help of ...
Of the space, Brando later recalled, ‘The rednecks [on the street] were pointing at the diners like animals in a zoo. I was immediately intrigued and ventured in. Before I left that afternoon, I discovered that many of the homosexual men were actually putting on a show for the jam .'...
Data gathered from every major fire in the country since 1984 has been fed into computer models to help predict and prevent wildfires.【小题1】What does the underlined “they”, in the third paragraph, refer to?A.Current firefighters tackling massive wildfires.B.The modified...
(one-way ANOVA and two-sided Tukey post hoc comparison, ***P < 0.001, **P < 0.01, *P < 0.05, NS, not significant).c,k, Fluorescence (OpGCaMP6f) event-triggered average ball rotations for ROI 0 (left) or ROI 3 (right) of an SS29579-Gal4 animal (c) or ROI 0 ...
KG embedding approaches attracted a lot of attention in the research community due to their capacity to provide generalizations and infer new facts. KG embedding techniques aim to transform the KG into semantically-continuous low-dimensional space. The embedded KG can be then used for several downstr...
SUM: Saliency Unification through Mamba for Visual Attention Modeling[code] [CVPR'24 Spotlight] State Space Models for Event Cameras[code] Time-Series Deep State Space Models for Time Series Forecasting(NeurIPS 2018) FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting...
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras, Sachin Shah (University of Maryland, College Park) · Matthew Chan (Department of Computer Science, University of Maryland, College Park) · Haoming Cai (University of Maryland, College Park) · Jingxi Chen...