2 citations · 5 across the 21 of their papers we have counts for
21 papers
Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
Yijia Guo, Wenkai Huang, Tong Hu +9
3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As it…
Spike-driven Large Language Model
Han Xu, Xuerui Qiu, Baiyu Chen +7
Current Large Language Models (LLMs) are primarily based on large-scale dense matrix multiplications. Inspired by the brain's information processing mechanism, we explore the funda…
Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy
Yang Yue, Shenjian Zhang, Yonghong Tian +2
Deep Neural Networks (DNNs) are vulnerable to elaborately designed adversarial noise, although they have achieved extraordinary success in many tasks. Compared with DNNs, the human…
GemS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
Zecheng Hao, Shenghao Xie, Kang Chen +3
Spiking Neural Networks (SNNs) offer superior energy efficiency over Artificial Neural Networks (ANNs). However, they encounter significant deficiencies in training and inference m…
On-the-fly Large-scale 3D Reconstruction from Multi-Camera Rigs
Yijia Guo, Tong Hu, Zhiwei Li +6
Recent advances in 3D Gaussian Splatting (3DGS) have enabled efficient free-viewpoint rendering and photorealistic scene reconstruction. While on-the-fly extensions of 3DGS have sh…
Zoom in, Click out: Unlocking and Evaluating the Potential of Zooming for GUI Grounding
Zhiyuan Jiang, Shenghao Xie, Wenyi Li +8
Grounding is a fundamental capability for building graphical user interface (GUI) agents. Although existing approaches rely on large-scale bounding box supervision, they still face…
Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
Wenkai Huang, Yijia Guo, Gaolei Li +6
3D Gaussian Splatting (3DGS) has emerged as a powerful representation for 3D scenes, widely adopted due to its exceptional efficiency and high-fidelity visual quality. Given the si…
Seeing the Unseen in Low-light Spike Streams
Liwen Hu, Yang Li, Mianzhi Liu +5
Spike camera, a type of neuromorphic sensor with high-temporal resolution, shows great promise for high-speed visual tasks. Unlike traditional cameras, spike camera continuously ac…
Exploring Representation Invariance in Finetuning
Wenqiang Zu, Shenghao Xie, Hao Chen +9
Foundation models pretrained on large-scale natural images are widely adapted to various cross-domain low-resource downstream tasks, benefiting from generalizable and transferable…
Splats in Splats: Robust and Effective 3D Steganography towards Gaussian Splatting
Yijia Guo, Wenkai Huang, Yang Li +6
3D Gaussian splatting (3DGS) has demonstrated impressive 3D reconstruction performance with explicit scene representations. Given the widespread application of 3DGS in 3D reconstru…
Learning from Pattern Completion: Self-supervised Controllable Generation
Zhiqiang Chen, Guofan Fan, Jinying Gao +4
The human brain exhibits a strong ability to spontaneously associate different visual attributes of the same or similar visual scene, such as associating sketches and graffiti with…
PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting
Yijia Guo, Yuanxi Bai, Liwen Hu +5
We proposed Precomputed RadianceTransfer of GaussianSplats (PRTGS), a real-time high-quality relighting method for Gaussian splats in low-frequency lighting environments that captu…
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
Zhao Mingyang, Jia Xiaohong, Ma Lei +5
This work presents a novel and effective method for fitting multidimensional ellipsoids to scattered data in the contamination of noise and outliers. We approach the problem as a B…
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion
Jiyuan Zhang, Kang Chen, Shiyan Chen +3
Novel View Synthesis plays a crucial role by generating new 2D renderings from multi-view images of 3D scenes. However, capturing high-speed scenes with conventional cameras often…
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová +22
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural…
SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors
Yijia Guo, Liwen Hu, Yuanxi Bai +3
3D Gaussian Splatting (3DGS) demonstrates unparalleled superior performance in 3D scene reconstruction. However, 3DGS heavily relies on the sharp images. Fulfilling this requiremen…
SCSim: A Realistic Spike Cameras Simulator
Liwen Hu, Lei Ma, Yijia Guo +1
Spike cameras, with their exceptional temporal resolution, are revolutionizing high-speed visual applications. Large-scale synthetic datasets have significantly accelerated the dev…
SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera
Gaole Dai, Zhenyu Wang, Qinwen Xu +5
One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the…
Spike-NeRF: Neural Radiance Field Based On Spike Camera
Yijia Guo, Yuanxi Bai, Liwen Hu +4
As a neuromorphic sensor with high temporal resolution, spike cameras offer notable advantages over traditional cameras in high-speed vision applications such as high-speed optical…
Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams
Liwen Hu, Ziluo Ding, Mianzhi Liu +2
As a neuromorphic sensor with high temporal resolution, spike camera can generate continuous binary spike streams to capture per-pixel light intensity. We can use reconstruction me…
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
Xundong Wu, Pengfei Zhao, Zilin Yu +6
Our understanding of biological neuronal networks has profoundly influenced the development of artificial neural networks (ANNs). However, neurons utilized in ANNs differ considera…