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Found 7 papers, 2 papers with code
Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation
Furthermore, we introduce a pretrain-to-refine self-supervised training paradigm to train our network.
Video Frame Interpolation with Stereo Event and Intensity Camera
The stereo event-intensity camera setup is widely applied to leverage the advantages of both event cameras with low latency and intensity cameras that capture accurate brightness and texture information.
THOR, Trace-based Hardware-adaptive layer-ORiented Natural Gradient Descent Computation
It is well-known that second-order optimizer can accelerate the training of deep neural networks, however, the huge computation cost of second-order optimization makes it impractical to apply in real practice.
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
Urban areas consume over two-thirds of the world's energy and account for more than 70 percent of global CO2 emissions.
Matrix optimization based Euclidean embedding with outliers
Euclidean embedding from noisy observations containing outlier errors is an important and challenging problem in statistics and machine learning.
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
To address the problem, a novel 3DPVNet is presented in this work, which utilizes 3D local patches to vote for the object 6D poses.
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction
The other is that they are slow in computation when the data points are beyond moderate size.
