43 citations · 67 across the 5 of their papers we have counts for
5 papers
EmbeddingGemma: Powerful and Lightweight Text Representations
Henrique Schechter Vera, Sahil Dua, Biao Zhang +86
We introduce EmbeddingGemma, a new lightweight, open text embedding model based on the Gemma 3 language model family. Our innovative training recipe strategically captures knowledg…
Gemini Embedding: Generalizable Embeddings from Gemini
Jinhyuk Lee, Feiyang Chen, Sahil Dua +44
In this report, we introduce Gemini Embedding, a state-of-the-art embedding model leveraging the power of Gemini, Google's most capable large language model. Capitalizing on Gemini…
Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation
Andreas Doumanoglou, Vassileios Balntas, Rigas Kouskouridas +1
In this paper we tackle the problem of estimating the 3D pose of object instances, using convolutional neural networks. State of the art methods usually solve the challenging probl…
Latent-Class Hough Forests for 6 DoF Object Pose Estimation
Rigas Kouskouridas, Alykhan Tejani, Andreas Doumanoglou +2
In this paper we present Latent-Class Hough Forests, a method for object detection and 6 DoF pose estimation in heavily cluttered and occluded scenarios. We adapt a state of the ar…
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis +1
Object detection and 6D pose estimation in the crowd (scenes with multiple object instances, severe foreground occlusions and background distractors), has become an important probl…