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cs.CV2025
HTTM: Head-wise Temporal Token Merging for Faster VGGT
Weitian Wang, Lukas Meiner, Rai Shubham +2
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 (ca…
cs.CV2025
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective
Weitian Wang, Rai Shubham, Cecilia De La Parra +1
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 prunin…