DMS: differentiable mean shift for dataset agnostic task specific clustering using side information od Hobley, M, Prisacariu, V

Dense decoder shortcut connections for single-pass semantic segmentation od Bilinski, P, Prisacariu, V

Say yes to the dress: shape and style transfer using conditional GANs od Hobley, M, Prisacariu, V

Learning to count anything: reference-less class-agnostic counting with weak supervision od Hobley, M, Prisacariu, V

Learning to count anything: reference-less class-agnostic counting with weak supervision od Hobley, M, Prisacariu, V

Approximating continuous convolutions for deep network compression od Costain, TW, Prisacariu, V

Direct-PoseNet: Absolute pose regression with photometric consistency od Prisacariu, V, Chen, S, Wang, Z

RelocNet: Continous metric learning relocalisation using neural nets od Balntas, V, Li, S, Prisacariu, V

Using learning of speed to stabilize scale in monocular localization and mapping od Frost, D, Murray, D, Prisacariu, V

Real-time large-scale dense 3D reconstruction with loop closure od Kähler, O, Prisacariu, V, Murray, D

Thinking outside the box: Generation of unconstrained 3D room layouts od Howard-Jenkins, J, Li, S, Prisacariu, V

Contextualising implicit representations for semantic tasks od Costain, TW, Li, K, Prisacariu, V

Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment od Frost, D, Prisacariu, V, Murray, D

DualRC: a dual-resolution learning framework with neighbourhood consensus for visual correspondences od Li, X, Han, K, Li, S, Prisacariu, V

DFNet: enhance absolute pose regression with direct feature matching od Chen, S, Li, X, Wang, Z, Prisacariu, V

SD4Match: Learning to prompt stable diffusion model for semantic matching od Li, X, Lu, J, Han, K, Prisacariu, V

Interpolating convolutional neural networks using batch normalization od Data, G, Ngu, K, Murray, D, Prisacariu, V

Hierarchical voxel block hashing for efficient integration of depth images od Kahler, O, Prisacariu, V, Valentin, J, Murray, D

PoRF: Pose residual field for accurate neural surface reconstruction od Bian, JW, Bian, W, Prisacariu, V, Torr, P

GA-Net: Guided aggregation net for end-to-end stereo matching od Zhang, F, Prisacariu, V, Yang, R, Torr, P