<aside> 💡 Format was shamelessly copied from Kurin ViTaly.
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In one of those sleepless nights, I noticed that I am reading too many papers and I realized I had to organize all these knowledge into one place. Here is the result
Decoupled Weight Decay Regularization
Complex-Valued Autoencoders for Object Discovery
Image orientation estimation with Convolutional Networks
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis
The Veiled Virgin illustrates visual segmentation of shape by cause
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Sensing shear forces during food manipulation
Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip
Shape-independent Hardness Estimation Using Deep Learning and a Gelsight Tactile Sensor
VisuoTactile 6D Pose Estimation of In-Hand Object using Vision and Tactile Sensor Data
Taxim: An example-based Simulation Model for GelSight Tactile Sensors
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry