- Residual Likelihood Forests
- Deep Sparse Light Field Refocusing
- STQ-Nets: Unifying Network Binarization and Structured Pruning
- Delving Deeper into Anti-aliasing in ConvNets
- Contrastively-reinforced Attention Convolutional Neural Network for Fine-grained Image Recognition
- Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
- A Spherical Approach to Planar Semantic Segmentation
- Accurate Parts Visualization for Explaining CNN Reasoning via Semantic Segmentation
- Lifted Regression/Reconstruction Networks
- Bayesian Geodesic Regression on Riemannian Manifolds
- LaDDer: Latent Data Distribution Modelling with a Generative Prior
- N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip Connections
- Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Also, feel free to check out my paper at BMVC 2020: Mish: A Self Regularized Non-Monotonic Activation Function