Browse by Journal / Conference

Nandi, S and Addepalli, S and Rangwani, H and Babu, RV (2023) Certified Adversarial Robustness Within Multiple Perturbation Bounds. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 2298-2305.

Prasanna, B and Sanyal, S and Babu, RV (2023) Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 2457-2463.

Reddy, NKK and Bulusu, MM and Pokala, PK and Seelamantula, CS (2023) Quantized Proximal Averaging Networks for Compressed Image Recovery. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 4633-4643.

Sreenivas, M and Biswas, S (2023) Similar Class Style Augmentation for Efficient Cross-Domain Few-Shot Learning. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 18 - 22 June 2023, Vancouver, BC, Canada, pp. 4590-4598.

Sikdar, A and Udupa, S and Gurunath, P and Sundaram, S (2023) DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, 17 - 24 June 2023, Vancouver, BC, Canada, pp. 487-496.

Nayak, GK and Rawal, R and Lal, R and Patil, H and Chakraborty, A (2022) Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022, 19 - 20 June 2022, New Orleans, pp. 4331-4340.

Murthy, LRD and Biswas, P (2021) Appearance-based gaze estimation using attention and difference mechanism. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,, 19-25 jun 2021, pp. 3137-3146.

Addepalli, S and Jain, S and Sriramanan, G and Babu, RV (2021) Boosting adversarial robustness using feature level stochastic smoothing. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 19-25 June 2021, Nashville, pp. 93-102.

Singh, A and Doraiswamy, N and Takamuku, S and Bhalerao, M and Dutta, T and Biswas, S and Chepuri, A and Vengatesan, B and Natori, N (2021) Improving semi-supervised domain adaptation using effective target selection and semantics. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,, 19-25 jun 2021, pp. 2703-2712.

Vivek, BS and Revanur, A and Venkat, N and Babu, RV (2020) Plug-and-pipeline: Efficient regularization for single-step adversarial training. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, 14-19 June 2020, United States, pp. 138-146.

Vivek, BS and Baburaj, A and Babu, RV (2019) Regularizer to mitigate gradient masking effect during single-step adversarial training. In: 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, 16 June 2019 - 20 June 2019, Long Beach, pp. 66-73.