6 accepted papers
The high-quality, realistic images generated by generative models pose significant challenges for exposing them. So far, data-driven deep neural networks have been justified as the most efficient forensics tools for the challenges. However, they may be over-fitted to certain semantics, resulting in…
The MPEG-3DGH group is developing a new standard for dynamic mesh encoding, known as Video-based Dynamic Mesh Coding (V-DMC). One of the main challenges in the V-DMC encoding process is extracting temporally corresponding information required for the inter-frame coding when dealing with inputs that…
As domain-specific datasets continue to expand, Large Language Models (LLMs) have achieved significant improvements across various fields through supervised fine-tuning (SFT). However, is more data always better for model fine-tuning? Through a series of controlled experiments, we discover that data
The Video-based Dynamic Mesh Coding (V-DMC) standard exploits the temporal correlation by tracing the motions of the vertices, which applies only to tracked frames with one-to-one vertex correspondence. For non-tracked frames, only intra mode is applied. This paper proposes an embedded graph represe…
Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). However, existing DRL-based methods primarily focus on enhancing performance in limited packing environments while neglecti
This paper is a preliminary exploration of how to solve the dual-manipulator path-planning problem from an energy perspective. A virtual spring is set up between the two manipulator bodies and becomes compressed as they move into the area of danger, thus producing elastic potential energy. The initi…