4 citations · 5 across the 6 of their papers we have counts for
5 papers · 1 filter
SegMASt3R: Geometry Grounded Segment Matching
Rohit Jayanti, Swayam Agrawal, Vansh Garg +4
Segment matching is an important intermediate task in computer vision that establishes correspondences between semantically or geometrically coherent regions across images. Unlike…
Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
Siddharth Tourani, Jayaram Reddy, Akash Kumbar +5
Dynamic scene rendering and reconstruction play a crucial role in computer vision and augmented reality. Recent methods based on 3D Gaussian Splatting (3DGS), have enabled accurate…
Revisit Anything: Visual Place Recognition via Image Segment Retrieval
Kartik Garg, Sai Shubodh Puligilla, Shishir Kolathaya +2
Accurately recognizing a revisited place is crucial for embodied agents to localize and navigate. This requires visual representations to be distinct, despite strong variations in…
Keypoint Aware Masked Image Modelling
Madhava Krishna, A V Subramanyam
SimMIM is a widely used method for pretraining vision transformers using masked image modeling. However, despite its success in fine-tuning performance, it has been shown to perfor…
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding
Yash Mehan, Kumaraditya Gupta, Rohit Jayanti +3
Robotic tasks such as planning and navigation require a hierarchical semantic understanding of a scene, which could include multiple floors and rooms. Current methods primarily foc…