Hodam, H.[Henryk]
* 2020: Bringing Earth Observation to Schools with Digital Integrated Learning Environments
Hodan, T.[Tomas]
* 2016: On Evaluation of 6D Object Pose Estimation
* 2017: T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects
* 2018: BOP: Benchmark for 6D Object Pose Estimation
* 2018: Summary of the 4th International Workshop on Recovering 6D Object Pose, A
* 2019: Photorealistic Image Synthesis for Object Instance Detection
* 2020: EPOS: Estimating 6D Pose of Objects With Symmetries
* 2020: Learning Surrogates via Deep Embedding
* 2022: LISA: Learning Implicit Shape and Appearance of Hands
* 2022: Neural Correspondence Field for Object Pose Estimation
* 2023: AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
* 2023: BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
* 2023: CNOS: A Strong Baseline for CAD-based Novel Object Segmentation
* 2023: In-Hand 3D Object Scanning from an RGB Sequence
Includes: Hodan, T.[Tomas] Hodan, T.[Tomáš] Hodan, T.
13 for Hodan, T.
Hodas, N.
* 2018: How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
Hodashinsky, I.[Ilya]
* 2022: SVC-onGoing: Signature verification competition