Search Results for author:
Found 4 papers, 1 papers with code
Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation
Efficiently generating grasp poses tailored to specific regions of an object is vital for various robotic manipulation tasks, especially in a dual-arm setup.
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions
Furthermore, we investigate the advantages of jointly training visual and latent prompts, demonstrating that this combined approach significantly enhances performance in out-of-distribution scenarios.
GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions
We present a Gated Differentiable Image Processing (GDIP) block, a domain-agnostic network architecture, which can be plugged into existing object detection networks (e. g., Yolo) and trained end-to-end with adverse condition images such as those captured under fog and low lighting.
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
In autoencoder, the encoder generally approximates the latent distribution over the dataset, and the decoder generates samples using this learned latent distribution.
