53 citations · 232 across the 44 of their papers we have counts for
6 papers · 2 filters
Enhanced Characterness for Text Detection in the Wild
Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava +1
Text spotting is an interesting research problem as text may appear at any random place and may occur in various forms. Moreover, ability to detect text opens the horizons for impr…
Object Classification using Ensemble of Local and Deep Features
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall +1
In this paper we propose an ensemble of local and deep features for object classification. We also compare and contrast effectiveness of feature representation capability of variou…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…
Drought Stress Classification using 3D Plant Models
Siddharth Srivastava, Swati Bhugra, Brejesh Lall +1
Quantification of physiological changes in plants can capture different drought mechanisms and assist in selection of tolerant varieties in a high throughput manner. In this contex…
3D Binary Signatures
Siddharth Srivastava, Brejesh Lall
In this paper, we propose a novel binary descriptor for 3D point clouds. The proposed descriptor termed as 3D Binary Signature (3DBS) is motivated from the matching efficiency of t…
Large Scale Novel Object Discovery in 3D
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall
We present a method for discovering never-seen-before objects in 3D point clouds obtained from sensors like Microsoft Kinect. We generate supervoxels directly from the point cloud…