6 accepted papers
Lithography orchestrates a symphony of light, mask and photochemicals to transfer the integrated circuit patterns onto the wafer. Lithography simulation serves as the critical nexus between circuit design and manufacturing, where its speed and accuracy fundamentally govern the optimization quality o…
Single-view clothed human reconstruction has emerged as a prominent research focus, yet reconstructing the occluded backside of the human body remains a significant challenge due to viewpoint limitations and occlusion. In this paper, we propose a novel single-view clothed human reconstruction method…
X-ray 3D reconstruction has achieved superior performance in medical imaging with traditional and deep learning methods. However, when sparse-view X-ray projections are used to minimize patient exposure to radiation, these methods tend to overfit and produce blurring. To overcome this problem, we pr…
Manhattan representations, defined by axis-aligned, orthogonal structures, are widely used in vision, robotics, and semiconductor design for their geometric regularity and algorithmic simplicity. In integrated circuit (IC) design, Manhattan geometry is key for routing, design rule checking, and lith…
Detecting objects with inherent orientations has numerous applications in the context of livestock reproduction. In this new scenario, the inherent orientations in the range [0, 2π) of target objects are detected alongside their bounding boxes to produce real-oriented bounding boxes. Due to the 0-to…
Deep neural networks (DNNs) have been widely used recently while their hardware deployment optimizations are very time-consuming and the historical deployment knowledge is not utilized efficiently. In this paper, to accelerate the optimization process and find better deployment configurations, we pr…