4 accepted papers
The Visual Geometry Grounded Transformer (VGGT) marks a significant leap forward in 3D scene reconstruction, as it is the first model that directly infers all key 3D attributes (camera poses, depths, and dense geometry) jointly in one pass. However, this joint inference mechanism requires global att
The increasing proliferation and evolution of robotics and its capabilities is having a significant impact on smart manufacturing and remanufacturing. Within the popular frameworks of Industry 4.0 and Industry 5.0, Human-robot collaboration (HRC) has emerged to integrate the best capabilities of hum…
In this paper, we propose MixA-Q, a mixed-precision activation quantization framework that leverages intra-layer activation sparsity (a concept widely explored in activation pruning methods) for efficient inference of quantized window-based vision transformers. For a given uniform-bit quantization c…
Human-robot collaborative assembly consists of humans and automated robots, who cooperate with each other to accomplish complex assembly tasks, which are difficult for either humans or robots to accomplish alone. There has been some success in statistics-based and optimization-based approaches to re…