separate 发表于 2025-3-23 11:25:54
http://reply.papertrans.cn/24/2342/234101/234101_11.png平淡而无味 发表于 2025-3-23 17:11:31
http://reply.papertrans.cn/24/2342/234101/234101_12.pngtriptans 发表于 2025-3-23 19:33:09
http://reply.papertrans.cn/24/2342/234101/234101_13.pngHAIL 发表于 2025-3-24 00:07:47
Towards Full 3D Helmholtz Stereovision Algorithmsrocess. More precisely, we use a triangular mesh representation which allows to naturally specify relationships between the geometry of a point of the scene and its surface normal. We show how to implement the presented approach using a coherent gradient descent flow. Results and benefits are illustrated on various examples.Instantaneous 发表于 2025-3-24 06:19:13
Network Connectivity via Inference over Curvature-Regularizing Line Graphsmical connectivity is then posed as an optimization problem over this curvature-regularizing graph – which gives subgraphs which comprise a representation of the tracts’ network topology. We present experimental results and an open-source implementation of the algorithm.BUMP 发表于 2025-3-24 07:29:50
http://reply.papertrans.cn/24/2342/234101/234101_16.pngFlustered 发表于 2025-3-24 14:10:56
http://reply.papertrans.cn/24/2342/234101/234101_17.png信任 发表于 2025-3-24 15:25:51
Context-Based Support Vector Machines for Interconnected Image Annotationrent links and (ii) the proof of convergence of our kernel to a positive definite fixed-point, usable for SVM training and other kernel methods. When plugged in SVMs, our context-dependent kernel consistently improves the performance of image annotation, compared to context-free kernels, on hundreds of thousands of Flickr images.胶水 发表于 2025-3-24 20:10:27
Finding Human Poses in Videos Using Concurrent Matching and Segmentationces and a human body plan, and the body part configuration is consistent with the object foreground estimated by simultaneous superpixel labeling. Our experiments on a variety of videos show that the proposed method is efficient and more reliable than previous locally constrained approaches.多骨 发表于 2025-3-25 01:47:54
Teacher Training and the Learner significant speedup as our new solvers are about 40× (non-planar) and 160× (planar) faster than the general solver. Moreover, we show that our two solvers can be joined into a new general solver, which gives comparable or better results than the existing general solver for of most planar as well as non-planar scenes.